The SmartQuill is a pen prototype invented by Lyndsay Williams that can digitize handwritten notes. It contains sensors that can recognize handwriting on any surface, as well as an ink cartridge to write on paper. Notes are stored locally on the pen's hard drive and can be uploaded to a computer. The pen uses accelerometers and handwriting recognition software to digitize writing into text files, allowing notes to be edited and shared digitally.
Smart quill is a pen invented by Microsoft Research that uses sensors and accelerometers to record handwriting movements and convert the writing into digital text. It differs from digital pens by its ability to write on any surface. The pen contains MEMS sensors that detect movement and send it to a microcontroller for handwriting recognition and transcription into text. In the future, smart quills could be made smaller, support more languages, and be lower cost.
This document describes a motion sensor-based digital pen for handwritten and gesture recognition. The digital pen consists of a motion sensor, USB cable, LED, and prism attached to a normal ballpoint pen. The pen is used to capture gesture and handwriting trajectories, which are then implemented for handwritten digit and gesture recognition using Matlab. Potential applications include digital signatures, 3D CAD drawings, and data encryption via image formats. The document outlines the components, methodology, and simulation results of the digital pen system.
A Framework For Dynamic Hand Gesture Recognition Using Key Frames ExtractionNEERAJ BAGHEL
This document proposes a framework for dynamic hand gesture recognition using key frame extraction. The framework uses skin color segmentation to detect the hand in video frames. Key frames are then extracted from the video using an algorithm to identify important distinguishing frames. Features related to hand shape, motion, and orientation are extracted from the key frames. A multi-class support vector machine classifier is used to classify the gestures based on the extracted features. The framework achieves 90.46% accuracy in recognizing 22 dynamic hand gestures of Indian sign language based on experiments.
A digital pen converts handwritten analog information into digital data that can be uploaded to a computer and displayed or used in applications. Digital pens use different technologies like accelerometers, active components, positional tracking, cameras, or trackballs to detect pen movement and pressure and transmit this data to a device. Digital pens allow handwritten notes and drawings to be created digitally and utilized digitically.
The document summarizes how a digital pen and paper system works to digitize handwritten notes and forms:
1) A digital pen with a camera records pen strokes on paper printed with invisible dots that encode page locations. As the user writes, the pen registers coordinates of each stroke.
2) The paper forms can be printed on ordinary printers. When completed with the digital pen, handwriting is converted to digital text using recognition software.
3) Data is sent from the pen via Bluetooth to a server for processing into editable digital forms via an optical character recognition program.
The document describes a seminar presentation on a Smart Note Taker device. The device allows users to write notes in the air that are then digitally stored and processed. It senses 3D shapes and motions and converts handwriting to editable text files. The presentation covers the features and technical details of the Smart Note Taker, including how it works, construction details, market opportunities, advantages over other note taking devices, and potential future applications.
The SmartQuill is a pen prototype invented by Lyndsay Williams that can digitize handwritten notes. It contains sensors that can recognize handwriting on any surface, as well as an ink cartridge to write on paper. Notes are stored locally on the pen's hard drive and can be uploaded to a computer. The pen uses accelerometers and handwriting recognition software to digitize writing into text files, allowing notes to be edited and shared digitally.
Smart quill is a pen invented by Microsoft Research that uses sensors and accelerometers to record handwriting movements and convert the writing into digital text. It differs from digital pens by its ability to write on any surface. The pen contains MEMS sensors that detect movement and send it to a microcontroller for handwriting recognition and transcription into text. In the future, smart quills could be made smaller, support more languages, and be lower cost.
This document describes a motion sensor-based digital pen for handwritten and gesture recognition. The digital pen consists of a motion sensor, USB cable, LED, and prism attached to a normal ballpoint pen. The pen is used to capture gesture and handwriting trajectories, which are then implemented for handwritten digit and gesture recognition using Matlab. Potential applications include digital signatures, 3D CAD drawings, and data encryption via image formats. The document outlines the components, methodology, and simulation results of the digital pen system.
A Framework For Dynamic Hand Gesture Recognition Using Key Frames ExtractionNEERAJ BAGHEL
This document proposes a framework for dynamic hand gesture recognition using key frame extraction. The framework uses skin color segmentation to detect the hand in video frames. Key frames are then extracted from the video using an algorithm to identify important distinguishing frames. Features related to hand shape, motion, and orientation are extracted from the key frames. A multi-class support vector machine classifier is used to classify the gestures based on the extracted features. The framework achieves 90.46% accuracy in recognizing 22 dynamic hand gestures of Indian sign language based on experiments.
A digital pen converts handwritten analog information into digital data that can be uploaded to a computer and displayed or used in applications. Digital pens use different technologies like accelerometers, active components, positional tracking, cameras, or trackballs to detect pen movement and pressure and transmit this data to a device. Digital pens allow handwritten notes and drawings to be created digitally and utilized digitically.
The document summarizes how a digital pen and paper system works to digitize handwritten notes and forms:
1) A digital pen with a camera records pen strokes on paper printed with invisible dots that encode page locations. As the user writes, the pen registers coordinates of each stroke.
2) The paper forms can be printed on ordinary printers. When completed with the digital pen, handwriting is converted to digital text using recognition software.
3) Data is sent from the pen via Bluetooth to a server for processing into editable digital forms via an optical character recognition program.
The document describes a seminar presentation on a Smart Note Taker device. The device allows users to write notes in the air that are then digitally stored and processed. It senses 3D shapes and motions and converts handwriting to editable text files. The presentation covers the features and technical details of the Smart Note Taker, including how it works, construction details, market opportunities, advantages over other note taking devices, and potential future applications.
IRJET- Hand Gesture Recognition System using Convolutional Neural NetworksIRJET Journal
The document presents a hand gesture recognition system using convolutional neural networks. The system aims to enable communication between deaf or mute individuals and those who do not understand sign language. It works by capturing an image of a hand gesture via camera, extracting features from the image, detecting the sign using a CNN model, and converting the sign to text or speech. The system can also convert text or speech to the corresponding sign. The CNN model achieves an accuracy of 95.6% for sign recognition, outperforming previous methods. A real-time prototype allows signing and two-way communication between individuals on different devices.
This document describes the features and functions of a smart pen. It has special paper with invisible dots that the pen detects to synchronize audio recordings with written notes. The pen has a microphone, infrared camera, OLED display and internal flash memory. It works by recording audio and matching it to notes written on dot paper. The smart pen is useful for students and professionals as it allows combining notes, audio recordings and drawings into synchronized files.
The smart note taker is a device that allows users to write notes in the air or on any surface, with the handwriting captured and converted to digital text or images in real-time. It has several useful applications, such as for instructors during presentations, or for blind users to write freely. The notes are stored on the pen's memory chip and can then be viewed digitally on a computer or mobile device. Thus the smart note taker provides a fast and easy note-taking solution that saves time compared to traditional methods.
A Dynamic hand gesture recognition for human computer interactionKunika Barai
This document discusses dynamic hand gesture recognition using human computer interaction. It proposes using a camera worn by hearing impaired users to capture hand gestures, which would then be processed on a computer using image processing techniques to recognize the gestures and map them to speech output. The system aims to help develop a prototype that can automatically recognize sign language gestures in real-time and translate them to voice. It reviews several previous works on sign language and gesture recognition and their limitations to motivate the proposed approach.
This document describes a portable refreshable electronic Braille device. The device allows visually impaired users to read electronic books stored on a microSD card and SMS messages received via Bluetooth from a mobile phone. It uses an ATmega328 microcontroller, Braille pins controlled by servos, a capacitive touch interface, removable microSD storage, and Bluetooth connectivity. The hardware and software architecture are designed for portability, low cost, and ease of use to improve accessibility of electronic information for the visually impaired.
The document describes a technical seminar report on a smart note taker device, including an overview of the system and its construction, current products like mobile and PC note takers as well as smart pens, the technologies used including display and handwriting recognition, advantages and disadvantages, applications, future scope, and conclusions. It provides details on the interior structure and technical requirements and includes diagrams of the smart note taker system and current products.
The Smart Note Taker is such a helpful product that satisfies the needs of the people in today's technologic and fast life. This product can be used in many ways. The Smart Note Taker provides taking fast and easy notes to people who are busy one's self with something. With the help of Smart Note Taker, people will be able to write notes on the air, while being busy with their work. The written note will be stored on the memory chip of the pen, and will be able to read in digital medium after the job has done. This will save time and facilitate life.
The seminar discusses a smart note taker pen that allows users to write notes in thin air that are then digitally stored. It recognizes handwriting in 22 languages and instantly converts notes to editable text files. The pen contains sensors to detect 3D shapes and motions and stores information in an onboard memory chip. When docked, the pen transmits the handwritten notes via an internet connection to computers or mobile devices for viewing and sharing. Key features include its usefulness for note taking, presentations, phone calls where figures are needed, and its compatibility with graphics software after conversion to digital text.
The document discusses a project to develop a desktop application that converts sign language to speech and text to sign language. It aims to help communicate with deaf people by removing barriers. The team plans to use EmguCV and C# Speech Engine. It has created an application that converts signs to text using image processing. Future work includes completing the software to cover all words in Arabic sign language.
The document describes a smart note taker product that allows users to take notes by writing in the air. The notes are sensed and stored digitally. Key features include allowing blind users to write freely, and enabling instructors to write notes during presentations that are broadcast to students. It works using sensors to detect 3D writing motions, which are processed, stored, and can be viewed on a display or sent to other devices. An applet program and database are used to recognize words written in the air and print them. The smart note taker offers advantages over digital pens like ease of use and time savings.
Smart Assistant for Blind Humans using Rashberry PIijtsrd
An OCR (Optical Character Recognition) system which is a branch of computer vision and in turn a sub-class of Artificial Intelligence. Optical character recognition is the translation of optically scanned bitmaps of printed or hand-written text into audio output by using of Raspberry pi. OCRs developed for many world languages are already under efficient use. This method extracts moving object region by a mixture-of-Gaussians-based background subtraction method. A text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object, a text localization and Tesseract algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are then binaries and recognized by off-the-shelf optical character recognition software. The recognized text codes are output to blind users in speech. Performance of the proposed text localization algorithm. As the recognition process is completed, the character codes in the text file are processed using Raspberry pi device on which recognize character using Tesseract algorithm and python programming, the audio output is listed. Abish Raj. M. S | Manoj Kumar. A. S | Murali. V"Smart Assistant for Blind Humans using Rashberry PI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11498.pdf http://www.ijtsrd.com/computer-science/embedded-system/11498/smart-assistant-for-blind-humans-using-rashberry-pi/abish-raj-m-s
Gestures are an important form of non-verbal communication between humans and can also be used to create interfaces between humans and machines. There are several types of gestures including emblems, sign languages, gesticulation and pantomimes. Gesture recognition allows humans to interact with computers through motions of the body, especially hand movements. Some methods of gesture recognition include device-based techniques using sensors on gloves, vision-based techniques using cameras, and controller-based techniques using motion controllers. Gesture recognition has applications in areas such as virtual controllers, sign language translation, game interaction and robotic assistance.
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
IRJET-Raspberry Pi Based Reader for Blind PeopleIRJET Journal
This document presents a Raspberry Pi-based document reader for blind people. It uses optical character recognition and text-to-speech synthesis to convert printed text images into audio output. Specifically, the system captures images using a camera connected to the Raspberry Pi. It then uses the Tesseract library and OpenCV to perform OCR on the images and convert the recognized text into text files. Finally, it uses a text-to-speech library to convert the text files into audio output that can be listened to through headphones or speakers. The system achieves a 90% success rate on test documents. It provides an accessible solution to allow blind people to access printed information through audio.
The document describes a smart note taker device that allows users to write notes in the air that are then converted to digital text. It works by using sensors to detect hand motions and shapes, processes this data, and saves it to a memory chip to be viewed later on another device. Current products include a mobile note taker that stores notes on an LCD and a PC note taker that displays handwritten notes in real time on a computer. Advantages include convenience and time savings, while disadvantages include cost and limited formatting options. Potential applications are in education, presentations, and for blind users.
This gives you info about smart pen / smart note taker helps you in preparing notebooks or writing books. All the notes written through this smart pen is maintained securely without any loss or hacker attacks
This document discusses ways to increase the reliability and accuracy of Blue Eyes technology through the incorporation of various modes. It proposes three modes: Dictionary Mode, which relies on emotion sensors and speech recognition; Brainy Mode, which collects electrical signals from the human brain to map thoughts to actions; and Dual Mode, which combines Dictionary and Brainy Modes. These modes aim to produce more refined and accurate results while also increasing the reliability of Blue Eyes technology, allowing for interactions through thought alone.
mart note taker It uses special pen that comprises of sensors, memory, processor, battery and display. When we write it try to detect the shape and capture the motion and then display on the monitor. Now this information can be send to other We will vanish this time lag by using a technology that the data will be sent to PC directly not by stored
This project developed a gesture recognition application using machine learning algorithms. The application recognizes gestures without color markers by extracting features from images using Hu moments and training a Hidden Markov Model. Common gestures like "ok" and "peace" were mapped to tasks like switching slides. The system was tested and achieved 60% accuracy. Future work could involve adding more gestures and connecting it to other devices.
GyroPen is a method that uses gyroscopes in smartphones to reconstruct writing motions for pen input without a stylus. It tracks the angular trajectory of the phone's corner touching a surface to write. Two proof-of-concept experiments showed users were able to write English words at speeds of 3-4 seconds per word with an 18% character error rate. The method provides a pen-like writing experience without hardware modifications and connects to existing handwriting recognition systems.
Light pens were input devices created in 1952 that detected light from CRT screens to select screen positions, working by generating electric pulses when pointed at spots lit up by electron beams. They became popular in the 1980s but are now obsolete as they only work with CRT displays and have disadvantages like obscuring the screen, causing arm fatigue, and producing false readings in bright lighting.
The document describes the 3Doodler, a 3D printing pen that uses plastic filament. It discusses what the 3Doodler is, its parts, how to use it by turning it on, loading plastic, selecting an extrusion speed, and unloading plastic. It also covers specifications, potential uses for the 3Doodler such as making 3D shapes or decorations, and concludes that it can be used by artists, hobbyists, and 3D printing fans.
IRJET- Hand Gesture Recognition System using Convolutional Neural NetworksIRJET Journal
The document presents a hand gesture recognition system using convolutional neural networks. The system aims to enable communication between deaf or mute individuals and those who do not understand sign language. It works by capturing an image of a hand gesture via camera, extracting features from the image, detecting the sign using a CNN model, and converting the sign to text or speech. The system can also convert text or speech to the corresponding sign. The CNN model achieves an accuracy of 95.6% for sign recognition, outperforming previous methods. A real-time prototype allows signing and two-way communication between individuals on different devices.
This document describes the features and functions of a smart pen. It has special paper with invisible dots that the pen detects to synchronize audio recordings with written notes. The pen has a microphone, infrared camera, OLED display and internal flash memory. It works by recording audio and matching it to notes written on dot paper. The smart pen is useful for students and professionals as it allows combining notes, audio recordings and drawings into synchronized files.
The smart note taker is a device that allows users to write notes in the air or on any surface, with the handwriting captured and converted to digital text or images in real-time. It has several useful applications, such as for instructors during presentations, or for blind users to write freely. The notes are stored on the pen's memory chip and can then be viewed digitally on a computer or mobile device. Thus the smart note taker provides a fast and easy note-taking solution that saves time compared to traditional methods.
A Dynamic hand gesture recognition for human computer interactionKunika Barai
This document discusses dynamic hand gesture recognition using human computer interaction. It proposes using a camera worn by hearing impaired users to capture hand gestures, which would then be processed on a computer using image processing techniques to recognize the gestures and map them to speech output. The system aims to help develop a prototype that can automatically recognize sign language gestures in real-time and translate them to voice. It reviews several previous works on sign language and gesture recognition and their limitations to motivate the proposed approach.
This document describes a portable refreshable electronic Braille device. The device allows visually impaired users to read electronic books stored on a microSD card and SMS messages received via Bluetooth from a mobile phone. It uses an ATmega328 microcontroller, Braille pins controlled by servos, a capacitive touch interface, removable microSD storage, and Bluetooth connectivity. The hardware and software architecture are designed for portability, low cost, and ease of use to improve accessibility of electronic information for the visually impaired.
The document describes a technical seminar report on a smart note taker device, including an overview of the system and its construction, current products like mobile and PC note takers as well as smart pens, the technologies used including display and handwriting recognition, advantages and disadvantages, applications, future scope, and conclusions. It provides details on the interior structure and technical requirements and includes diagrams of the smart note taker system and current products.
The Smart Note Taker is such a helpful product that satisfies the needs of the people in today's technologic and fast life. This product can be used in many ways. The Smart Note Taker provides taking fast and easy notes to people who are busy one's self with something. With the help of Smart Note Taker, people will be able to write notes on the air, while being busy with their work. The written note will be stored on the memory chip of the pen, and will be able to read in digital medium after the job has done. This will save time and facilitate life.
The seminar discusses a smart note taker pen that allows users to write notes in thin air that are then digitally stored. It recognizes handwriting in 22 languages and instantly converts notes to editable text files. The pen contains sensors to detect 3D shapes and motions and stores information in an onboard memory chip. When docked, the pen transmits the handwritten notes via an internet connection to computers or mobile devices for viewing and sharing. Key features include its usefulness for note taking, presentations, phone calls where figures are needed, and its compatibility with graphics software after conversion to digital text.
The document discusses a project to develop a desktop application that converts sign language to speech and text to sign language. It aims to help communicate with deaf people by removing barriers. The team plans to use EmguCV and C# Speech Engine. It has created an application that converts signs to text using image processing. Future work includes completing the software to cover all words in Arabic sign language.
The document describes a smart note taker product that allows users to take notes by writing in the air. The notes are sensed and stored digitally. Key features include allowing blind users to write freely, and enabling instructors to write notes during presentations that are broadcast to students. It works using sensors to detect 3D writing motions, which are processed, stored, and can be viewed on a display or sent to other devices. An applet program and database are used to recognize words written in the air and print them. The smart note taker offers advantages over digital pens like ease of use and time savings.
Smart Assistant for Blind Humans using Rashberry PIijtsrd
An OCR (Optical Character Recognition) system which is a branch of computer vision and in turn a sub-class of Artificial Intelligence. Optical character recognition is the translation of optically scanned bitmaps of printed or hand-written text into audio output by using of Raspberry pi. OCRs developed for many world languages are already under efficient use. This method extracts moving object region by a mixture-of-Gaussians-based background subtraction method. A text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object, a text localization and Tesseract algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are then binaries and recognized by off-the-shelf optical character recognition software. The recognized text codes are output to blind users in speech. Performance of the proposed text localization algorithm. As the recognition process is completed, the character codes in the text file are processed using Raspberry pi device on which recognize character using Tesseract algorithm and python programming, the audio output is listed. Abish Raj. M. S | Manoj Kumar. A. S | Murali. V"Smart Assistant for Blind Humans using Rashberry PI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11498.pdf http://www.ijtsrd.com/computer-science/embedded-system/11498/smart-assistant-for-blind-humans-using-rashberry-pi/abish-raj-m-s
Gestures are an important form of non-verbal communication between humans and can also be used to create interfaces between humans and machines. There are several types of gestures including emblems, sign languages, gesticulation and pantomimes. Gesture recognition allows humans to interact with computers through motions of the body, especially hand movements. Some methods of gesture recognition include device-based techniques using sensors on gloves, vision-based techniques using cameras, and controller-based techniques using motion controllers. Gesture recognition has applications in areas such as virtual controllers, sign language translation, game interaction and robotic assistance.
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
IRJET-Raspberry Pi Based Reader for Blind PeopleIRJET Journal
This document presents a Raspberry Pi-based document reader for blind people. It uses optical character recognition and text-to-speech synthesis to convert printed text images into audio output. Specifically, the system captures images using a camera connected to the Raspberry Pi. It then uses the Tesseract library and OpenCV to perform OCR on the images and convert the recognized text into text files. Finally, it uses a text-to-speech library to convert the text files into audio output that can be listened to through headphones or speakers. The system achieves a 90% success rate on test documents. It provides an accessible solution to allow blind people to access printed information through audio.
The document describes a smart note taker device that allows users to write notes in the air that are then converted to digital text. It works by using sensors to detect hand motions and shapes, processes this data, and saves it to a memory chip to be viewed later on another device. Current products include a mobile note taker that stores notes on an LCD and a PC note taker that displays handwritten notes in real time on a computer. Advantages include convenience and time savings, while disadvantages include cost and limited formatting options. Potential applications are in education, presentations, and for blind users.
This gives you info about smart pen / smart note taker helps you in preparing notebooks or writing books. All the notes written through this smart pen is maintained securely without any loss or hacker attacks
This document discusses ways to increase the reliability and accuracy of Blue Eyes technology through the incorporation of various modes. It proposes three modes: Dictionary Mode, which relies on emotion sensors and speech recognition; Brainy Mode, which collects electrical signals from the human brain to map thoughts to actions; and Dual Mode, which combines Dictionary and Brainy Modes. These modes aim to produce more refined and accurate results while also increasing the reliability of Blue Eyes technology, allowing for interactions through thought alone.
mart note taker It uses special pen that comprises of sensors, memory, processor, battery and display. When we write it try to detect the shape and capture the motion and then display on the monitor. Now this information can be send to other We will vanish this time lag by using a technology that the data will be sent to PC directly not by stored
This project developed a gesture recognition application using machine learning algorithms. The application recognizes gestures without color markers by extracting features from images using Hu moments and training a Hidden Markov Model. Common gestures like "ok" and "peace" were mapped to tasks like switching slides. The system was tested and achieved 60% accuracy. Future work could involve adding more gestures and connecting it to other devices.
GyroPen is a method that uses gyroscopes in smartphones to reconstruct writing motions for pen input without a stylus. It tracks the angular trajectory of the phone's corner touching a surface to write. Two proof-of-concept experiments showed users were able to write English words at speeds of 3-4 seconds per word with an 18% character error rate. The method provides a pen-like writing experience without hardware modifications and connects to existing handwriting recognition systems.
Light pens were input devices created in 1952 that detected light from CRT screens to select screen positions, working by generating electric pulses when pointed at spots lit up by electron beams. They became popular in the 1980s but are now obsolete as they only work with CRT displays and have disadvantages like obscuring the screen, causing arm fatigue, and producing false readings in bright lighting.
The document describes the 3Doodler, a 3D printing pen that uses plastic filament. It discusses what the 3Doodler is, its parts, how to use it by turning it on, loading plastic, selecting an extrusion speed, and unloading plastic. It also covers specifications, potential uses for the 3Doodler such as making 3D shapes or decorations, and concludes that it can be used by artists, hobbyists, and 3D printing fans.
The document discusses the 3Doodler, a pen that allows users to "doodle" in 3D by extruding plastic filaments to form 3D shapes and objects, addressing the issues of cost, size and usability that had previously limited 3D printing technology. It was successfully crowdfunded on Kickstarter, raising over $1.9 million, and its creators hope it will make 3D printing more accessible to the general public and inspire new applications.
The light pen is an input device that uses light detection to select objects on a display screen. It was developed in 1952 as part of the Whirlwind Project at MIT and functions by sensing the light emitted from pixels on the screen. A light pen allows users to point to and select displayed objects or draw on the screen and can be used on computer screens, TV screens, and smart boards.
The document describes xplace GmbH and their offerings for interactive customer information and digital signage at points of sale. They provide electronic shelf labels, digital signage, multichannel communication tools, social media terminals, kiosk solutions, and software to help retailers attract customers through efficient pricing, better communication, and turning consumers into buyers.
This document contains a resume for Md. Samiul Alam Shamim. It summarizes his educational and professional background, including graduating from Chittagong University of Engineering & Technology with a B.Sc. in Computer Science and Engineering in 2015. It lists his programming languages and software skills, past projects and work experience developing Android and web applications, and provides contact information.
This document describes a gift finding service called EZGift. It aims to make gift giving easier by taking recipients' preferences, budgets, and the time/effort constraints of shoppers into account. The service allows demoing a live version and provides a way to ask questions.
Este documento describe una asignación sobre la gestión de documentos en tres plataformas: Slideshare, Scribd e Issuu. La asignación requiere que el estudiante cree cuentas en cada plataforma, aloje al menos un documento en cada una con contenido relacionado a las tecnologías de la información y la comunicación, y suba la portada de la asignación al aula virtual. Adicionalmente, el estudiante debe editar su perfil en cada plataforma y considerar qué tipo de contenido alojaría si usara las cuentas
Professional PHP web application development faces a multitude of challenges today, especially in case of large and complex applications developed using agile methodologies. Plenty of factors influence the product, its architecture and the developers working on it. During this talk we're going to explore those factors and attempt to build a set of guidelines that will benefit the developers, code, product and business at the same time.
The document describes the process of power line inspections using aerial drones. It involves several stages:
1. Pre-flight planning and setup which includes verifying client specifications, certifications, and flight planning.
2. Flight operations and data collection using sensors, cameras and tools to record images, video and other inspection data.
3. Post-flight data analysis in the back office including identifying faults, generating reports and integrating the data into GIS systems.
This document is a curriculum vitae for Mohammed Sharooq. It summarizes his objective to seek a challenging position to utilize his talents and allow for growth. It outlines his academic qualifications including graduating from UKF College of Engineering and Technology in 2015 with a Diploma in MEP. It lists his work experience in network marketing and as an HVAC technical engineer. It also provides details on his areas of expertise including AutoCAD, SOLID EDGE ST5, REVIT MEP, 3DS MAX, and HAP.
Презентация о том кто такие менторы Coursera, а так же какие другие типы волонтёров бывают с примерами из специализации Яндекса и МФТИ "Машинное обучение и Анализ Данных"
TM Insight founder and director Travis Erridge is considered Australia's leading project consultant when it comes to high-bay warehousing development. Here are his Top 5 areas to consider when contemplating a development of this nature.
The document discusses conventions for designing a music magazine cover and contents pages. It provides details on design choices such as centering the cover image, using bold fonts for the masthead, including the band's name and album title, and placing cover lines and headlines in visible locations. For the contents page, it discusses including artist photos, using columns, and featuring article titles and page numbers prominently. Overall, the document focuses on layout, formatting, and design elements to effectively showcase a band and entice readers.
Intervento all'I.T.C. "G.Falcone" A.S. 2011/2012, sugli ambienti virtuali di apprendimento, nell'ambito di una formazione organizzata dall'Ispettore Augusto Tarantini.
- BirdView SRL performs multispectral inspections of power lines using helicopters, gyroplanes, and drones equipped with sensors.
- Sensors include daylight, thermal infrared, and corona cameras to detect visible defects, overheating, and electrical discharges.
- Images and video are analyzed post-flight to identify anomalies on hardware, insulators, towers, and other components.
- Inspections check for corona effects, hot spots from loose connections, and structural issues to prevent faults and ensure safety.
The document describes a seminar presentation on a smart note taker device. It discusses how the device allows users to write notes in the air that are then stored digitally. The device senses 3D shapes and motions and processes this information to transfer it to a memory chip and display. It has advantages like allowing note taking anywhere, being helpful for instructors and the blind, and integrating with graphics software.
The document describes a smart quill, an intelligent pen invented by Lyndsay Williams that can digitize handwritten notes. It works by using an accelerometer and microprocessor to record the pen's movements as it writes and translate that into computer text. The smart quill is larger than a normal pen and contains components like an LCD, battery, and buttons to allow notes taken with it to be viewed, edited, or transferred to a computer for storage and sharing. Unlike a digital pen, the smart quill does not require a special notepad to function and can recognize handwriting on any flat surface.
The document discusses various input and output devices used in computing. It describes 17 common input devices including the keyboard, mouse, joystick, touchpad, scanner, microphone, and digital camera. It then explains 15 output devices such as the monitor, printers (inkjet, laser, dot matrix), and plotters. For each device, it provides details on how they work, examples of their uses, and advantages/disadvantages.
Gestures Based Sign Interpretation System using Hand GloveIRJET Journal
This document describes a glove-based sign language interpretation system that uses flex sensors and an Arduino Uno microcontroller. The system is intended to help those with speech impairments communicate by translating sign language gestures into text and speech output. The glove contains flex sensors that detect finger and hand movements, sending that data to the Arduino which interprets the gestures using machine learning algorithms and outputs the translation. The system aims to reduce communication barriers for the deaf and hard of hearing.
Due to the rise and rapid growth of E commerce the use ATM cards has drastically increased which caused an explosion in the ATM card frauds. In real life fraudulent transaction are scattered with genuine transactions Hence simple pattern matching techniques, for instance Personal Identification Number PIN are not enough to detect these frauds accurately. Implementation of efficient fraud detection system has become imperative to reduce people loss. Our project aims to prevent the use of ATM cards without the authorization of owner or card holder. At present the card can be accessed if the PIN is known. The amount withdrawn or transferred is notified by the card holder only after complete transaction .Hence the process cant be retrieved. But the project intimates the card owner before the transaction begins even if the PIN is known. This is limited only to card transaction and not to online mode. Hence the verification can be extended to online process. Poornima D | Preethi Mariam Oommen P | Nirmala Devi K ""Authenticated Access of ATM Cards"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23330.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23330/authenticated-access-of-atm-cards/poornima-d
The document discusses various input and output devices used in computer systems. It provides detailed descriptions of common input devices like keyboards, mice, scanners, digital cameras, and microphones. It also covers various types of output devices for displaying and printing data, including monitors, printers, and speakers. The document aims to explain how these devices work and their uses for getting data into and out of computer systems efficiently and accurately.
Smart quill is a pen that can digitize handwritten text using sensors to detect the pen's movement. It works by matching the movements to pre-programmed letters and words. The pen has accelerometers and can recognize handwriting and signatures. It also has features like a display, tilt scrolling, memory storage, and wireless data transfer. Potential applications include replacing keyboards and allowing input to other devices. While convenient, it also has limitations like size, accuracy, and compatibility with hand tremors.
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLEIRJET Journal
1) The document describes a hand gesture-based speaking system to help mute people communicate through converting hand gestures to audio messages.
2) The system uses flex sensors to detect finger movements and a Raspberry Pi microcontroller to identify predefined gestures and convert them to speech using text-to-speech.
3) The flex sensors are attached to gloves to allow mute users to easily convey common messages through natural hand gestures that are translated to audio by the system.
This document presents a smart classroom and student tracking management system. It includes sections that describe the objectives of making learning better and more engaging for students. It also explains key aspects of the system like smart classroom standards that include interactive whiteboards, document cameras, response systems, and audio equipment. The student tracking management system uses RFID readers and tags along with a GSM module and central computer to track student locations and attendance. Benefits of the smart classroom include better instruction tools for teachers and more engaging learning experiences for students.
The International Journal of Engineering and Sciencetheijes
This document summarizes a research paper on a hand sign interpreter system that uses a sensor glove to recognize sign language gestures and translate them into voice signals in real time. The system aims to help normal people communicate more effectively with those who are speech impaired. It uses flex sensors on a glove to detect hand shapes and an accelerometer to detect hand orientations. The signals are fed to a microprocessor that analyzes the signals and retrieves the corresponding audio files from memory to be played through a speaker. The system is designed to be low-cost and portable compared to other sign language recognition systems on the market.
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
This document provides information about computer fundamentals including:
- A brief history of computers from the abacus to modern computers.
- The basic components of a computer including input devices like keyboards and mice, output devices like monitors and printers, storage units, the central processing unit, and computer memory types.
- An overview of computer languages from machine language to modern graphical interfaces.
- Definitions of computer software including system software and application software.
- Details on computer memory including cache memory, primary/main memory, and secondary memory.
This document describes a smart note taker device that can instantly convert handwritten notes into editable text. It discusses the system overview including the construction details, working, advantages and disadvantages. The smart note taker uses a Java applet program and database to recognize words written in the air. It has applications for teachers, students, instructors and anyone needing to write notes digitally. The conclusion states that this note taking device increases note-taking capacity by converting handwriting to text without paper.
IRJET - A Smart Assistant for Aiding Dumb PeopleIRJET Journal
This document presents a proposed smart assistant system to help mute or vocally impaired people communicate with others using hand gestures. The system uses MEMS sensors in a glove to detect hand gestures, which are matched to pre-stored commands using an Arduino microcontroller. The relevant text is displayed on an LCD screen and audio is played back of the message in the local language as determined by a GPS module. An emergency notification can also be sent via GSM to a guardian if an emergency gesture is detected. The system is intended to help the mute community communicate more easily with others and ensure their safety in emergencies.
ARM 9 Based Intelligent System for Biometric Figure AuthenticationRadita Apriana
Now a day’s some universities in India are enforcing afiliated colleges to implement biometric
fingerprint attendance system to monitor student attendance. This sytem requiresbiometric fingerprint
scanner need to be installed in affiliated college where student studying and it is monitored by the
university online. As finger print scanner is placed at affiliated college which is far away from the university,
there is possibility of adding fake finger print into the scanner which can be used for proxy attendance of
student who is not attending the college. In this paper, the proposed system is designed in such a way
that, the acquired fingerprint of the student is initially stored in the database with complete student profile
and photograph. And, when the student places his fingerprint it compares with stored database. If
fingerprint matches it displays the student photo. The proposed intelligent system includes R305 fingerprint
sensor and ARM 9 processor. We used RS232 for interfacing with system and visual studio 2008 software
for designing the interface. This attendance system is verified practically with students and we obtained the
desired results accurately.
DESIGN AND IMPLEMENTATION OF CAMERA-BASED INTERACTIVE TOUCH SCREENJournal For Research
The document describes the design and implementation of a camera-based interactive touch screen. It uses a coated glass sheet as a projection surface and cameras to detect touches. When a finger touches a laser light plane in front of the screen, it is detected by the camera. An ATmega16 microcontroller processes the camera images and communicates touch locations to an external device via UART. This technology allows for large, low-cost touch displays without individual sensors. It has advantages over other touch detection methods and can enable applications like advertising, presentations, and outdoor displays.
This document describes a proposed sign language interpreter system that uses machine learning and computer vision techniques. It aims to enable deaf and mute users to communicate through computers and the internet by recognizing static hand gestures from camera input and translating them to text. The proposed system extracts features from captured images of signs and uses a support vector machine model to classify the gestures by comparing to a dataset of labeled images. If implemented, this system could help overcome communication barriers for deaf users in an increasingly digital world.
Sign Language Recognition using MediapipeIRJET Journal
This document summarizes a student research project that aims to develop a sign language recognition system using the Mediapipe framework. The system takes video input of signed letters from the American Sign Language alphabet and outputs the recognized letters in text format. The document provides background on sign language and gesture recognition, describes the Mediapipe framework and implementation methodology using KNN classification, and presents preliminary results of the system detecting hand positions and recognizing letters in real-time. The overall goal is to reduce communication barriers for deaf individuals by translating sign language to written text.
This document describes a smart note taker pen that can write in air and store the written information in an onboard memory chip. It uses accelerometer technology to detect the motions of handwriting and transmits this data to a microprocessor. The pen has features like being highly portable, recognizing multiple languages, and having expandable memory. It allows users to take notes by writing in air that can then be uploaded and edited on a computer. While advantageous for its portability and assistance for blind users, smart note takers can be costly. The system aims to improve note taking by converting handwriting in air into editable text formats on a PC.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
2. Outline
Introduction
Endorsements
The Platform
The Pen
The Paper
The Host Server
Development Tools
Working
Accelerometer
Handwriting Recognition
Software
Technology Added Value
Advanced Lexicons
Existing system integration
The Text Editor and Form
Viewer
Security
Barcode Scanning
7 Utilities in Education
Benefits
Disadvantages
Demonstration and Live Testing
Conclusion
References
2
3. Introduction
Smart Pen (Digital Pen)
A computer invention that transmits writing into digital text.
Using MEMS sensors it records the movement of the writing.
Digital pen technology was first developed by the Swedish inventor
and manufactured by Christer Fåhraues
One of the smart pen is LIVESCRIBE SMARTPEN, invented by
Lyndsey Williams from Cambridge University along with British
Telecommunications in 2008.
3
4. Endorsements From Researchers
I think this smart pen is going to revolutionize learning.
It facilitate the Curriculum Based Measures like recording
and tracking of children’s performances on quick
assessments.
In mathematics that’s central to learning.
It has tremendous potential to help students as they pursue
their higher education — certainly all forms of education.
4
5. The Platform
Digital Pen
Dot Paper with Dot Positioning System (DPS)
Desktop and Host Server (pen cast)
Development Tools
5
6. Ink Cartridge and
force sensor
Battery
Encrypted data
transmission
128/256 bit
Bluetooth transceiver/USB
Processor
Infrared Camera
Memory :
2Gb/50 A4 Pgs
The Pen:
Inside Technical Data
IR camera
Uses ink
Functions just like a normal pen
Contains a digital camera
Takes pictures of pen strokes only
Inbuilt MIC and Speaker
Bluetooth or USB
OLED display
Headset Jack
6
7. Anoto Function:
Small dots printed on ordinary paper
Visually a slight grey dots on the paper which
are invisible to human eye.
The pixels have an addressing system from
Anoto authorized printer
Non complex printing process –
Laser/Litho/Digital
THE PAPER
7
8. Our Form Anoto Dot Pattern Printed Form
FORM PRINTING AND COMPLETION
+ =
8
10. Digital pens write like a ballpoint and record what
you write as you write it by using Java SDK v1.0.
Digital pens can typically store up to 1,2, or 4
Gigabytes of text/audio.
The digital pen has a rechargeable battery and
standby unto 14Hours.
Development Tools
10
11. Development Tools(cont.)
Send forms in an instant via mobile phone or PC.
Digital capture forms with pattern can be printed
on demand using compatible desktop printers.
The digital pen and paper solutions implement
the security levels demanded by organizations.
11
12. Working of Smart Pen
When using a digital pen, a tiny IR camera in the pen.
It registers the pen's movement across the grid surface on the paper
and stores it as series of map coordinates.
These coordinates correspond to the exact location of the page
you’re writing on.
How does it register the coordinates?
User can enter information into these pens by simply pressing a
button and accelerometers are used to sense the movements of the pen
using earths gravity system
12
13. Working of Smart Pen
There are two techniques used for register the coordinates
Accelerometer Technology
Handwriting recognition Software
13
14. Accelerometer Technology
This technology uses a device calledAccelerometer which
is used for measuring acceleration due to gravity.
Atiny accelerometer in a pen could be used to detect the
stops and starts, arcs and loops of handwriting, and transmit
this information to a small microprocessor that would make
sense of it as text.
14
15. Accelerometer Technology
Two types of accelerometer
1) Three axes accelerometer
(or)
(laser accelerometer)
2) Piezoelectric accelerometer
`
15
16. Laser Accelerometer
A laser accelerometer comprises a frame having three
orthogonal input axes and multiple proof masses.
Each proof mass having a predetermined blanking surface.
A flexible beam supports each proof mass.
A control responds to the light intensity to restore the proof
mass to a central position and provides an output signal
proportional to the restoring force.
16
17. Piezoelectric Accelerometer
It employs the piezoelectric effect of certain materials to
measure dynamic changes in mechanical variables.
e.g., acceleration, vibration, and mechanical shock.
The acceleration can be converted into an electrical signal it
must first be converted into either a force or displacement.
17
18. Application uses Vision Objects Handwriting
Recognition Software which is the world leader in this
field. 26 language handwriting packs are currently
available.
The text written by hand is converted into digital
characters or digital text.
Two phases in handwriting recognition
Handwriting transcription
Handwriting recognition
HAND WRITING CHARACTER RECOGNITION (HCR)
18
19. Handwriting Transcription
In this phase, the recorded acceleration signals are then
transcripted to it's original form of handwriting.
Method
• Firstly, we have to know pen's spatial orientation.
• Secondly, we have to succeed in the double integration
19
20. Handwriting Recognition
In this phase the characters and signatures are
recognized.
Method
We use a simple Euclidian distance as the comparison process,
and of course the decision the process is the smaller distance
founded by the application sensor
20
21. Monogram – 1-word could be fire or five
Bigram – 2-word group could be on fire or on five
Trigram – 3-word group could be on fire but never on five
The “Text” resource uses a trigram model.
HAND WRITING TO DIGITAL TEXT CONVERSION
21
22. Technology Added Value
Data streaming – email, sms, xml, spreadsheet
Hand Writing Recognition Software (HWR)
Advanced Lexicons
Existing System integration
Form Editor/Viewer
Security
Scanning barcodes
Data Mining and Business Intelligence
22
23. Advanced Lexicons
A lexicon is the vocabulary of a person, things, language, or branch
of knowledge
Accuracy improved by using lexicons
Person names
Place names
Street names
23
24. Existing System integration
By saving information in the local/global systems like
employee names, data or ID numbers.
Automatic Data verification
Fieldworker Names
ID Numbers
24
27. Security
High security – 128/256 bit encryption.
Each digital pen has a unique ID.
Secure web gateway.
No more missing paperwork - instant transactions.
Immediate proof of delivery / acceptance.
Signature verification.
Regular Backup - ensures reporting and compliance where
necessary.
Clear audit trail - time stamped log of pen user, time started,
finished and signed.
No time wasted and impossible for any fraudulent activities to take
place.
27
28. The pen must be held in a specific angle when scanning a
barcode
The barcode must be scanned with normal hand movement
avoiding extremely high or low speeds
BARCODE SCANNING
28
30. Benefits
It is portable and light weight.
Increased security for the student & the user.
High speed, resilient solution - Reduced processing time
Digital secure data, text and images sending.
Cost cutting in costs related to paper based processes
Leave a copy behind. Source Paper trail is always available for
validating the electronic information
Secure data transfer
Much Smarter than any typing application
30
31. Disadvantages
It works only on “Dot Paper”.
The cost is high.
Misuse of Smart pen
Low Storage capacity.
It has Accelerometer errors
Errors are occurs in the system due to thermal variations in the spring
31
33. Conclusion
Hence we can conclude that the smart pen has
many advantages over normal pen, since the smart
pen is a device that can store visual recordings and
thus can be used widely.
Eventually blind students (people with partial
blindness) find it difficult to take notes at the fast
pace that is being dictated. So smart pen can play a
great role to help blind students.
33
36. References
Mayer, E. R. (2009). The Cambridge Handbook of Multimedia Learning.
Cambridge Press University.
Norman, D. (2004). Emotional Design.
A Member of the Perseus Books Group, New York.
Norman, D. (2002). The Design of Everyday Things.
A Member of the Perseus Books Group, New York.
University of Rochester Learning Assistance Services (June2009) adopted from
www.livescribe.com
www.anoto.org
www.edulivescribe.com
http://www.nytimes.com/2010/08/19
http://www.nytimes.com/2008/04/22
http://www.nytimes.com/2007/05/29
http://www.livescribe.com
http://www.fordham.onearmedman.com/wiki
36