Skinput is a technology developed by Microsoft researchers that uses sensors on an armband to detect sound waves produced from taps on a user's body as a means of input. It allows controlling devices by tapping on the skin without the need for a physical interface. The armband contains sensors that can determine the location of taps on different parts of the arm and body based on the unique acoustic properties. While in early development and not commercially available, Skinput could enable new interaction methods for mobile devices, gaming, and help for people with disabilities. However, accuracy may degrade over time and high costs could initially limit adoption.
Recently more & more hearing impaired people started using sign language. There are about 70 million people in the whole World that are not able to speak (dumb). A dumb person makes communication with other people using their motion of the hand or expressions. . Sign language helps the dumb people to make communication like normal people. The sign language translator which has been already developed uses a glove fitted with sensors that can interpret the 16 English letters in American Sign Language (ASL). Accelerometers and flex sensors are used in this system which increases its overall cost. We proposed a solution as a prototype called as “smart glove-for speech impaired people” which will translate sign language into text. It will help dump and deaf people to express their thoughts in more convenient way. As a sign language we have used traditional finger movements with contact switch wrapped around the user’s fingers. An IR transmitter receiver pair, HT12E and HT12D IC and, Arduino (Micro Controller) board helps transmitting data to PC. Moreover, use of contact switches reduces the system’s overall cost.
Keywords: - Arduino, HT12E IC & HT12D IC, IR transmitter receiver, contact switch.
The document discusses the development of a smart glove called the Palmify. It describes the motivation and hypothesis for creating a glove that can respond to body movement. The document outlines the key drivers of wearable technology like faster hardware, cloud storage, and location data. It then details the industries of fashion, technology, and medicine that wearables impact. The document provides an overview of two models of the Palmify glove created, their features and the process used to design and build the gloves. It concludes by discussing potential future projects like a wristband notification system.
The document discusses "Enable Talk Gloves", gloves equipped with sensors that recognize sign language and translate it into text-to-speech on a smartphone. A team of Ukrainian students developed the gloves to help deaf people communicate. The gloves measure finger bending and hand motion with sensors connected to a microcontroller and Bluetooth. This allows translation of signs into text then spoken words on a phone. While the gloves can currently translate a few phrases, the team aims to expand the sign library and improve accuracy and speed for conversation. Long-term, the technology could benefit other applications like interacting with interfaces and may become a mainstream computing method.
Skinput is a technology developed by Microsoft Research that uses bio-acoustic sensing to detect finger taps on the skin and use the human body as an input surface. It involves wearing a sensor armband that can detect vibrations caused by taps and determine their location. This allows for an "always available" input method without needing to carry a separate device. The document provides background on Skinput and discusses its advantages over other mobile input methods in providing a large, portable input area using the human body and proprioception.
Digital jewelry embeds computing components like microphones, displays, and antennas into jewelry items like necklaces, bracelets, and rings. This allows smartphones and other devices to be broken up into discrete, wearable pieces that communicate wirelessly. One prototype from IBM used a necklace microphone, earring speakers, flashing ring, and wrist display bracelet that together functioned as a mobile phone. While digital jewelry offers wireless convenience and fashionable tech wearables, challenges remain regarding small displays, potential health issues, waterproofing, and high costs.
This document summarizes a presentation on HandTalk, a technology that aims to help deaf and mute individuals communicate. HandTalk uses a virtual reality glove called the P5 glove that detects finger gestures and converts them to text using gesture recognition software. The text is then converted to speech so hearing individuals can understand the deaf or mute person. The goal is to create an accurate and inexpensive alternative to existing expensive gesture recognition systems. The presentation outlines the hardware, software, user interface, motivation, design, problems with other systems, and future enhancements of the HandTalk system.
This document discusses the concept of digital jewelry, which embeds computing capabilities into jewelry items like earrings, necklaces, and rings. It describes how digital jewelry could break smartphones down into separate wearable pieces that communicate wirelessly to perform calling and other functions. Specifically, it presents prototypes where earrings contain speakers, a necklace has a microphone, and a ring acts as a touchpad and stores login credentials. The goal is for these discrete digital accessories to work together wirelessly like a conventional smartphone through technologies like Bluetooth. The document examines how digital jewelry could solve problems like forgotten passwords by storing user information and acting as an all-in-one replacement for various identity cards and devices.
Skinput is a technology developed by Microsoft researchers that uses sensors on an armband to detect sound waves produced from taps on a user's body as a means of input. It allows controlling devices by tapping on the skin without the need for a physical interface. The armband contains sensors that can determine the location of taps on different parts of the arm and body based on the unique acoustic properties. While in early development and not commercially available, Skinput could enable new interaction methods for mobile devices, gaming, and help for people with disabilities. However, accuracy may degrade over time and high costs could initially limit adoption.
Recently more & more hearing impaired people started using sign language. There are about 70 million people in the whole World that are not able to speak (dumb). A dumb person makes communication with other people using their motion of the hand or expressions. . Sign language helps the dumb people to make communication like normal people. The sign language translator which has been already developed uses a glove fitted with sensors that can interpret the 16 English letters in American Sign Language (ASL). Accelerometers and flex sensors are used in this system which increases its overall cost. We proposed a solution as a prototype called as “smart glove-for speech impaired people” which will translate sign language into text. It will help dump and deaf people to express their thoughts in more convenient way. As a sign language we have used traditional finger movements with contact switch wrapped around the user’s fingers. An IR transmitter receiver pair, HT12E and HT12D IC and, Arduino (Micro Controller) board helps transmitting data to PC. Moreover, use of contact switches reduces the system’s overall cost.
Keywords: - Arduino, HT12E IC & HT12D IC, IR transmitter receiver, contact switch.
The document discusses the development of a smart glove called the Palmify. It describes the motivation and hypothesis for creating a glove that can respond to body movement. The document outlines the key drivers of wearable technology like faster hardware, cloud storage, and location data. It then details the industries of fashion, technology, and medicine that wearables impact. The document provides an overview of two models of the Palmify glove created, their features and the process used to design and build the gloves. It concludes by discussing potential future projects like a wristband notification system.
The document discusses "Enable Talk Gloves", gloves equipped with sensors that recognize sign language and translate it into text-to-speech on a smartphone. A team of Ukrainian students developed the gloves to help deaf people communicate. The gloves measure finger bending and hand motion with sensors connected to a microcontroller and Bluetooth. This allows translation of signs into text then spoken words on a phone. While the gloves can currently translate a few phrases, the team aims to expand the sign library and improve accuracy and speed for conversation. Long-term, the technology could benefit other applications like interacting with interfaces and may become a mainstream computing method.
Skinput is a technology developed by Microsoft Research that uses bio-acoustic sensing to detect finger taps on the skin and use the human body as an input surface. It involves wearing a sensor armband that can detect vibrations caused by taps and determine their location. This allows for an "always available" input method without needing to carry a separate device. The document provides background on Skinput and discusses its advantages over other mobile input methods in providing a large, portable input area using the human body and proprioception.
Digital jewelry embeds computing components like microphones, displays, and antennas into jewelry items like necklaces, bracelets, and rings. This allows smartphones and other devices to be broken up into discrete, wearable pieces that communicate wirelessly. One prototype from IBM used a necklace microphone, earring speakers, flashing ring, and wrist display bracelet that together functioned as a mobile phone. While digital jewelry offers wireless convenience and fashionable tech wearables, challenges remain regarding small displays, potential health issues, waterproofing, and high costs.
This document summarizes a presentation on HandTalk, a technology that aims to help deaf and mute individuals communicate. HandTalk uses a virtual reality glove called the P5 glove that detects finger gestures and converts them to text using gesture recognition software. The text is then converted to speech so hearing individuals can understand the deaf or mute person. The goal is to create an accurate and inexpensive alternative to existing expensive gesture recognition systems. The presentation outlines the hardware, software, user interface, motivation, design, problems with other systems, and future enhancements of the HandTalk system.
This document discusses the concept of digital jewelry, which embeds computing capabilities into jewelry items like earrings, necklaces, and rings. It describes how digital jewelry could break smartphones down into separate wearable pieces that communicate wirelessly to perform calling and other functions. Specifically, it presents prototypes where earrings contain speakers, a necklace has a microphone, and a ring acts as a touchpad and stores login credentials. The goal is for these discrete digital accessories to work together wirelessly like a conventional smartphone through technologies like Bluetooth. The document examines how digital jewelry could solve problems like forgotten passwords by storing user information and acting as an all-in-one replacement for various identity cards and devices.
Skinput is a technology developed by Microsoft Research that allows a user's skin to act as an input surface. It uses arrays of highly tuned vibration sensors incorporated into an armband to detect acoustic waves generated by taps on the skin. The sensors are able to classify different inputs and locations of taps on the arm. While the prototype demonstrates the potential of the technology, its commercial viability will depend on Microsoft's commitment to further developing it.
Skinput is a technology that uses the skin's surface as an input device. It works by having a wearable armband with acoustic detectors that can sense vibrations when the user taps their skin. This allows the user to control devices by tapping designated areas on their arm that have virtual buttons projected onto them. Some potential applications include using it to control mobile phones, music players, games, or to help disabled individuals interact with technology. While innovative, it still faces limitations such as wearability of the armband and lack of extensive safety testing.
Skinput is a technology developed by Microsoft that allows a user's skin to be used as an input surface. It uses a combination of a pico-projector, bioacoustic sensors, and Bluetooth. The pico-projector displays interfaces on the user's arm. When the user taps their arm, vibrations are detected by bioacoustic sensors in an armband. The sensors convert the vibrations to signals sent via Bluetooth to a mobile device where software matches the signals to determine the tap location and perform the corresponding operation. Skinput provides an always available, on-body input system without requiring the user's visual attention.
What Role Can Smart Technology Play in Helping a Frustrated User?David Kinnear
David Kinnear created a presentation of his blog of the same title, to discuss the role of smart technology and increasing human reliability on the internet of things.
ppt presentation on skinput technology. Contains every necessary details of skinput technology. Was my seminar topic for biju patnaik university of technology. download and get to know what skinput is .
IRJET- Smart Speaking Glove for Speech Impaired PeopleIRJET Journal
This document describes a smart speaking glove system for speech impaired people that uses flex sensors on a glove to detect gestures and convert them to synthesized speech output. The flex sensors detect finger bending and send signals to a microcontroller. The microcontroller matches the signals to predefined gestures and messages stored in its database and outputs the corresponding message to an LCD display and speaker. It also includes an emergency function using a GPS and GSM modules to track the user's location and send a message if they activate a panic switch.
The document discusses upcoming computing technologies such as holographic displays and touch keyboards. Holographic displays use lasers and light to create three-dimensional images in the air without a screen. The document predicts that by 2015, holographic phones and computers will be common. It also describes experimental "touch keyboards" that use touch screens or projections instead of physical keys. The document discusses using facial expressions to control car functions through a mind reading machine and transmitting data between people through physical contact via a personal area network that detects tiny currents in the human body.
Skinput is a bio-acoustic sensing technique that allows the body to be used as an input surface. Finger taps on the skin create acoustic waves that are detected by sensors in an armband. The armband classifies the finger taps by location on the arm, allowing the arm to control a device in real time. Research is ongoing to make the armband smaller and extend its capabilities to more devices while maintaining high accuracy. The technique was presented at the CHI 2010 conference and allows for intuitive control of devices through natural gestures on the skin.
This document discusses a proposed sign language translation system using glove technology. The system would use flex sensors in a glove to detect hand gestures and convert them to text or speech output. This would help the deaf-mute community communicate without barriers. While accurate, the system may have slow processing and difficulty operating the glove. However, improvements could make the glove more flexible and allow it to also detect facial expressions. The proposed system aims to provide a portable tool to help the deaf-mute community learn and communicate using sign language.
Digital jewelry is emerging as a new technology that embeds computing capabilities into jewelry and accessories. Prototypes include a ring that flashes different colors to identify incoming calls, earrings with speakers, and a bracelet with a small display. The components of a digital jewelry device would include a screen or display, microphone, antenna, and battery. Technical challenges remain around charging and costs, but digital jewelry may soon replace standalone devices by integrating computing into fashion items that are worn.
This document discusses digital jewelry, which are wearable computing devices that allow wireless communication. Digital jewelry would break cell phones into their basic components, like microphones, receivers, displays, and batteries, and package them as pieces of jewelry like earrings, necklaces, rings, and wrist displays. An example is the Java Ring, which has memory, a processor, and a Java virtual machine to run apps. Digital jewelry could be used for social networking, reminders, secure communication, and connecting patients to doctors through small, personalized devices. However, challenges remain regarding battery life, user awareness, and further innovation to simplify everyday tasks.
This document discusses digital jewelry, which combines fashion jewelry with embedded computing technology. Digital jewelry devices could include earrings with speakers, a necklace with a microphone, a ring with LEDs to indicate calls, and a bracelet with a small display. The technology allows for a wireless wearable computer using Bluetooth. Issues include small displays, potential health risks from radiation, water damage risks, and high costs, but digital jewelry may eventually replace standalone computers by integrating all necessary functions into fashionable items that are easy to carry everywhere.
Digital jewelry is fashion jewelry with embedded intelligence and components like displays, microphones, and antennas. A presentation proposed digital jewelry concepts like earrings containing speakers, a necklace with a microphone, and a bracelet or ring with a small display. Prototypes from IBM included a magic decoder ring with LEDs to indicate calls and a mouse-ring using trackpoint technology. Digital jewelry could integrate functions of devices like IDs and payment cards but has challenges with size, cost, and power limitations.
Skinput is a technology developed by researchers at Carnegie Mellon University that allows a user's skin to serve as a touch interface. It uses sensors in an armband to detect vibrations on the skin caused by taps and turns those inputs into commands. The tapping locations are identified using the different acoustic signatures of longitudinal and transverse waves. While promising, current prototypes of Skinput technology have limitations including bulkiness of the armband and accuracy that depends on the user's body composition. However, it has potential applications for mobile devices, gaming, media playback and more. Future iterations aim to shrink the size of the hardware and expand its capabilities.
Deaf and Dump Gesture Recognition SystemPraveena T
This presentation mainly tells about the problems of those people followed by solution and an overall view of various topics such as market overview,target customers,flow chart,technology used,cost analysis and finally future plans.
The document describes a new input technique called Skinput that allows a user's skin and body to be used as an input surface. It uses a wearable armband with small vibration sensors to detect finger taps on the arm based on the unique acoustic patterns generated. When a finger taps the skin, acoustic waves are produced and transmitted through the soft tissues and bones of the arm. The armband sensors are tuned to different resonant frequencies to pick up on these frequency signals. Experiments showed the system could accurately detect taps on different areas of the arm and distinguish individual fingers. This provides an "always available" input that does not require the user to hold or touch a device.
Skinput is an input technology that uses bio-acoustic sensing to localize finger taps on the skin.Here is a brief introduction about skinput technology.
Skinput is a technology developed by Microsoft researchers that uses the surface of the skin as an input device. It consists of an armband with acoustic sensors that can detect finger taps on the skin and determine the location. The armband is connected via Bluetooth and uses a pico projector to display virtual buttons on the user's arm. This allows controlling devices by simply tapping on the skin. It has potential applications in mobile devices, gaming, and more. Extensive research continues to improve the accuracy and miniaturize the armband.
The rise of wearables for consumers is going to be one of the key growth areas in mobile technology in 2014.
The presentation projects to define the wearable devices and the trend of the wearable tech that the market expect to be designed.
This document summarizes silent sound technology, which allows people to communicate via phone calls without making audible sounds. It works by using sensors on the face to detect tiny muscle movements involved in speech and translating these into synthesized audio that can be understood by the receiver. While promising for applications like private calls or communication in loud environments, current methods still face limitations like needing many sensors attached to the face and having difficulties with tonal languages or conveying emotion. Researchers hope to address these issues by incorporating the sensors directly into phones and using image recognition of lip movements instead of electromyography.
Skinput is a technology developed by Microsoft Research that allows a user's skin to act as an input surface. It uses arrays of highly tuned vibration sensors incorporated into an armband to detect acoustic waves generated by taps on the skin. The sensors are able to classify different inputs and locations of taps on the arm. While the prototype demonstrates the potential of the technology, its commercial viability will depend on Microsoft's commitment to further developing it.
Skinput is a technology that uses the skin's surface as an input device. It works by having a wearable armband with acoustic detectors that can sense vibrations when the user taps their skin. This allows the user to control devices by tapping designated areas on their arm that have virtual buttons projected onto them. Some potential applications include using it to control mobile phones, music players, games, or to help disabled individuals interact with technology. While innovative, it still faces limitations such as wearability of the armband and lack of extensive safety testing.
Skinput is a technology developed by Microsoft that allows a user's skin to be used as an input surface. It uses a combination of a pico-projector, bioacoustic sensors, and Bluetooth. The pico-projector displays interfaces on the user's arm. When the user taps their arm, vibrations are detected by bioacoustic sensors in an armband. The sensors convert the vibrations to signals sent via Bluetooth to a mobile device where software matches the signals to determine the tap location and perform the corresponding operation. Skinput provides an always available, on-body input system without requiring the user's visual attention.
What Role Can Smart Technology Play in Helping a Frustrated User?David Kinnear
David Kinnear created a presentation of his blog of the same title, to discuss the role of smart technology and increasing human reliability on the internet of things.
ppt presentation on skinput technology. Contains every necessary details of skinput technology. Was my seminar topic for biju patnaik university of technology. download and get to know what skinput is .
IRJET- Smart Speaking Glove for Speech Impaired PeopleIRJET Journal
This document describes a smart speaking glove system for speech impaired people that uses flex sensors on a glove to detect gestures and convert them to synthesized speech output. The flex sensors detect finger bending and send signals to a microcontroller. The microcontroller matches the signals to predefined gestures and messages stored in its database and outputs the corresponding message to an LCD display and speaker. It also includes an emergency function using a GPS and GSM modules to track the user's location and send a message if they activate a panic switch.
The document discusses upcoming computing technologies such as holographic displays and touch keyboards. Holographic displays use lasers and light to create three-dimensional images in the air without a screen. The document predicts that by 2015, holographic phones and computers will be common. It also describes experimental "touch keyboards" that use touch screens or projections instead of physical keys. The document discusses using facial expressions to control car functions through a mind reading machine and transmitting data between people through physical contact via a personal area network that detects tiny currents in the human body.
Skinput is a bio-acoustic sensing technique that allows the body to be used as an input surface. Finger taps on the skin create acoustic waves that are detected by sensors in an armband. The armband classifies the finger taps by location on the arm, allowing the arm to control a device in real time. Research is ongoing to make the armband smaller and extend its capabilities to more devices while maintaining high accuracy. The technique was presented at the CHI 2010 conference and allows for intuitive control of devices through natural gestures on the skin.
This document discusses a proposed sign language translation system using glove technology. The system would use flex sensors in a glove to detect hand gestures and convert them to text or speech output. This would help the deaf-mute community communicate without barriers. While accurate, the system may have slow processing and difficulty operating the glove. However, improvements could make the glove more flexible and allow it to also detect facial expressions. The proposed system aims to provide a portable tool to help the deaf-mute community learn and communicate using sign language.
Digital jewelry is emerging as a new technology that embeds computing capabilities into jewelry and accessories. Prototypes include a ring that flashes different colors to identify incoming calls, earrings with speakers, and a bracelet with a small display. The components of a digital jewelry device would include a screen or display, microphone, antenna, and battery. Technical challenges remain around charging and costs, but digital jewelry may soon replace standalone devices by integrating computing into fashion items that are worn.
This document discusses digital jewelry, which are wearable computing devices that allow wireless communication. Digital jewelry would break cell phones into their basic components, like microphones, receivers, displays, and batteries, and package them as pieces of jewelry like earrings, necklaces, rings, and wrist displays. An example is the Java Ring, which has memory, a processor, and a Java virtual machine to run apps. Digital jewelry could be used for social networking, reminders, secure communication, and connecting patients to doctors through small, personalized devices. However, challenges remain regarding battery life, user awareness, and further innovation to simplify everyday tasks.
This document discusses digital jewelry, which combines fashion jewelry with embedded computing technology. Digital jewelry devices could include earrings with speakers, a necklace with a microphone, a ring with LEDs to indicate calls, and a bracelet with a small display. The technology allows for a wireless wearable computer using Bluetooth. Issues include small displays, potential health risks from radiation, water damage risks, and high costs, but digital jewelry may eventually replace standalone computers by integrating all necessary functions into fashionable items that are easy to carry everywhere.
Digital jewelry is fashion jewelry with embedded intelligence and components like displays, microphones, and antennas. A presentation proposed digital jewelry concepts like earrings containing speakers, a necklace with a microphone, and a bracelet or ring with a small display. Prototypes from IBM included a magic decoder ring with LEDs to indicate calls and a mouse-ring using trackpoint technology. Digital jewelry could integrate functions of devices like IDs and payment cards but has challenges with size, cost, and power limitations.
Skinput is a technology developed by researchers at Carnegie Mellon University that allows a user's skin to serve as a touch interface. It uses sensors in an armband to detect vibrations on the skin caused by taps and turns those inputs into commands. The tapping locations are identified using the different acoustic signatures of longitudinal and transverse waves. While promising, current prototypes of Skinput technology have limitations including bulkiness of the armband and accuracy that depends on the user's body composition. However, it has potential applications for mobile devices, gaming, media playback and more. Future iterations aim to shrink the size of the hardware and expand its capabilities.
Deaf and Dump Gesture Recognition SystemPraveena T
This presentation mainly tells about the problems of those people followed by solution and an overall view of various topics such as market overview,target customers,flow chart,technology used,cost analysis and finally future plans.
The document describes a new input technique called Skinput that allows a user's skin and body to be used as an input surface. It uses a wearable armband with small vibration sensors to detect finger taps on the arm based on the unique acoustic patterns generated. When a finger taps the skin, acoustic waves are produced and transmitted through the soft tissues and bones of the arm. The armband sensors are tuned to different resonant frequencies to pick up on these frequency signals. Experiments showed the system could accurately detect taps on different areas of the arm and distinguish individual fingers. This provides an "always available" input that does not require the user to hold or touch a device.
Skinput is an input technology that uses bio-acoustic sensing to localize finger taps on the skin.Here is a brief introduction about skinput technology.
Skinput is a technology developed by Microsoft researchers that uses the surface of the skin as an input device. It consists of an armband with acoustic sensors that can detect finger taps on the skin and determine the location. The armband is connected via Bluetooth and uses a pico projector to display virtual buttons on the user's arm. This allows controlling devices by simply tapping on the skin. It has potential applications in mobile devices, gaming, and more. Extensive research continues to improve the accuracy and miniaturize the armband.
The rise of wearables for consumers is going to be one of the key growth areas in mobile technology in 2014.
The presentation projects to define the wearable devices and the trend of the wearable tech that the market expect to be designed.
This document summarizes silent sound technology, which allows people to communicate via phone calls without making audible sounds. It works by using sensors on the face to detect tiny muscle movements involved in speech and translating these into synthesized audio that can be understood by the receiver. While promising for applications like private calls or communication in loud environments, current methods still face limitations like needing many sensors attached to the face and having difficulties with tonal languages or conveying emotion. Researchers hope to address these issues by incorporating the sensors directly into phones and using image recognition of lip movements instead of electromyography.
1) Silent Sound Technology allows for communication without speaking by detecting lip movements and converting them to electrical signals that are then translated into sound signals.
2) It uses electromyography to monitor muscle movements in the face during speech and image processing of lip movements. The signals are then converted to speech.
3) Potential applications include silent communication in noisy places, aiding those who have lost their voice, and transmitting confidential information privately. However, it still faces restrictions related to accuracy and practical usability.
Digital jewelry is fashion jewelry embedded with computer components like displays, microphones, and batteries. Examples include bracelets with small screens and rings with LED lights. The Java Ring by Dallas Semiconductor has memory, processing power, and a blue dot receptor to communicate with other devices. Digital jewelry could replace items like key chains and ID cards. Issues include small displays, potential health risks, waterproofing, and high costs. The technology aims to make computers wearable while staying fashionable.
The document discusses trends seen at CES 2017 related to connection, cognition, and immersion. Key trends highlighted include the emergence of connected product ecosystems from brands like LG; Alexa becoming the dominant interface for IoT devices; augmented reality gaining capabilities through object recognition and spatial freedom in VR; and autonomous vehicles expanding beyond cars to devices like drones and delivery robots. The trends showcase an ambient computing future where artificial intelligence and new data types simplify tasks and predict needs.
The document discusses trends seen at CES 2017 related to connection, cognition, and immersion. Key trends highlighted include connected product ecosystems from brands like LG that integrate various smart home appliances; the emergence of Alexa and voice assistants as the dominant interface for IoT devices; augmented reality and virtual reality technologies providing more immersive and spatial experiences; and autonomous vehicles expanding beyond cars to delivery robots and personal mobility devices. Pervasive artificial intelligence and machine learning were seen embedded in many new products, moving towards an ambient computing future.
MONIKA S V.pptx skin put technology guidenc ofRavikiranaVS
Skin-put technology allows a user's skin to act as an input surface for controlling devices. It uses sensors in an armband to detect vibrations on the skin caused by taps and gestures. This information is used to display a projected interface and allow interactions like making calls or controlling music without directly touching a device. Some potential applications include mobile computing, healthcare monitoring, gaming and education. While it provides accessibility benefits, skin-put also faces challenges like cost, health effects, and size of the required armband equipment. Researchers continue working to improve the technology.
Mobile computing allows users to access information from portable devices like smartphones, tablets, and wearable technology. It involves mobile hardware, software applications, and wireless communication networks that make information accessible on the go. While mobile devices increase connectivity and convenience, overreliance on them can reduce real-world engagement and their use raises some health and safety concerns.
This document discusses the growing field of wearable technology and its implications. It explores how wearables will transform data collection and use, requiring companies to utilize prescriptive insights from massive amounts of personal data. Examples are provided of current wearables and their applications in healthcare, education, intimacy, and more. The document concludes that wearable technology offers brands opportunities to differentiate themselves, but also raises issues around privacy that require honest consideration.
This document discusses the growing field of wearable technology and its implications. It explores how wearables will transform data collection and use, requiring companies to utilize prescriptive, human-centered insights from massive amounts of personal data. Examples are given of current wearables and their applications in healthcare, education, intimacy, and more. The document concludes that while privacy issues exist, wearables offer brands opportunities to differentiate if they can establish trust around data usage.
The document describes Skinput technology, which uses the surface of the skin as an input device. Skinput was developed by researchers at Microsoft to allow users to control devices by tapping on their skin. It works by using sensors in an armband to detect vibrations and acoustic signals caused by taps and gestures on the skin. This allows the user to perform tasks like making calls or controlling music just by tapping on projected interfaces on their arm, without directly touching a device. Potential applications include use by paralyzed individuals, in education, and for gaming. However, issues remain regarding cost, health effects, and wearability of the armband sensor.
This document discusses the emerging concept of "digital jewelry", which refers to fashion jewelry that incorporates digital technologies and wireless capabilities. Some key points:
- Companies are developing jewelry items like earrings, necklaces, rings, and bracelets that can perform functions of cell phone components like speakers, microphones, displays, and more through wireless connectivity.
- Examples mentioned include earrings that serve as speakers, a necklace with a microphone, a ring that flashes notifications, and a bracelet with a small display. These could work together wirelessly as a cell phone.
- Other projects are developing head-mounted displays and a ring that functions as a computer mouse. These envision a future where displays
Skinput is an input technology that uses bio-acoustic sensing to localize finger taps on the skin. ... While other systems, like SixthSense have attempted this with computer vision, Skinput employs acoustics, which take advantage of the human body's natural sound conductive properties (e.g., bone conduction).
When smart-phones sense how you feel: The era of intelligent mobile devices -...Internet World
Mobile Theatre - June 17th, 12:30-13:00
Argus Labs uses deep learning algorithms to sense, understand and predict human behaviour and emotions, based on the sensors in a smart-phone and general usage of a smart-phone. The presentation will demonstrate how smart-phones will start to behave as intelligent entities that know how a user feels and improve our lives.
This document summarizes silent sound technology, which allows people to communicate over the phone without using their vocal cords. It works by using sensors on the face to detect tiny muscle movements involved in speech and converting them into electrical signals. These signals are then matched to pre-recorded speech patterns and transmitted as audio to the other caller. While promising for applications like space communication, the technology currently requires many sensors attached to the face and has difficulties with language translation. However, future improvements in areas like image recognition, nanotechnology and miniaturization could make silent sound interfaces more practical.
The document discusses Google Glasses, a research project by Google to develop augmented reality head-mounted displays. It provides an overview of Google Glasses and the technologies used like wearable computing, ambient intelligence and augmented reality. It describes how Google Glasses works using components like a video display, camera, speaker, button and microphone. The document outlines advantages such as easy access to information and disadvantages like privacy concerns. It concludes that Google Glasses can enhance communication and information access for physically challenged users.
Skinput is a technology that uses the surface of the skin as an input device. It works by using an armband with sensors that can detect vibrations and acoustic signals produced by taps on the skin. These signals are converted into electronic signals that allow users to perform tasks like controlling music players or making phone calls by tapping projected buttons and menus on their arm. Some potential applications of this technology include use by paralyzed individuals, in education, and for gaming. While it provides advantages like not requiring direct interaction with devices, challenges include the need for more research on health effects and reducing the size of the armband.
Argus Labs' technology renders mobile devices into sensing, intelligent and feeling devices. Learn how this revolution has started and what the near future holds. Already today...
Wireless and uninstrumented communication by gestures for deaf and mute based...IOSR Journals
Abstract: The fact that technology is advancing as per Moore’s law, the attention towards deaf and mute individuals with hi-tech technology is not much. Deaf and mute have to communicate through sign language even for pithy things. And also many people did not understand this language. Now-a-days gesture is becoming an increasingly popular means of interacting with computers. This paper sheds light of an proposed potential idea relying on latest technology named Wi-See which was developed in Washington, US. This technology actually uses our conventional Wi-Fi signals for home automation by gesture recognition. So, depending upon this hi-tech technology, my modified application idea is towards deaf and dumb, especially, one who cannot speak, but knows English language for communication. Since wireless signals do not require line-of-sight and can traverse through walls, proposed idea can be very useful to expressed views by speechless people without requiring instrumentation of the human body with sensing devices. The whole idea is based on Doppler shift in frequency of Wi-Fi signals. Instead of controlling home appliances as by Wi-See, this idea extends its view for speech or words through speakers installed. Each successive pattern of English alphabet generated by Doppler shift by gestures in air, can be recorded and matched with predefined pattern, which when processed, be outputed through speaker as combined letter word ,inspired by English digital dictionary having prediction and correction algorithm. Keywords: Wi-Fi, Wi-See, Doppler shift, Gestures, Communication
This is feasible because of the External Device Integration facility and Device Synchronization concept. Have a look at some fundamentals about Device Integration and the challenges involved in this WhitePaper.
Similar to Man-Mobile Deep Merge - Vinod Desai (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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Dr. Sean Tan, Head of Data Science, Changi Airport Group
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
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Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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2. Using technology as it stands
today, it should be possible to
embed a deconstructed version of
today’s mobile phone into the
human body, in a way that it
almost seems like a natural
extension of our senses.
It’ll also make ordinary humans seem
superhuman. And can radically
change the lives of those with
disabilities.
Another upside is that we’ll never
have to carry or explicitly charge
devices again.
3. The following slides show the
components which need to be
dropped, technologies to be used and
the means of deployment.
4. Key Component to
Drop
The Display
A smartphone’s display is a significant
drain on a device’s battery life. We get
rid of it. This would mean no graphics
processors, no touch controllers or
panels.
All interactions will be non-visual;
predominantly aural and vocal.
5. Key Technologies
Of Use
Low-power radios
Bone Conduction
Hearing & Sub-dermal Implants
Wireless Inductive charging
Mature, off the shelf offerings from
these 4 spaces are all that are needed
to make Deep-Merge happen.
6. Enabling Deep-
Merge
Low Power Wireless Radios
Wireless technologies like Bluetooth
Low Energy(BLE) or other low power
radio communication modes will play
a key role.
Today, it’s possible to pick up radio
beacons which can run for 2 years, off
a single button cell. Some reference
radio beacon designs can run for 10
years.
7. Fully submersible bone conduction based
communication devices have been in use
for more than 10 years.
While they inherently offer high-fidelity
audio & excellent noise cancellation,
several retail versions today are fully
submersible and lose no functionality until
20 meters of depth.
Enabling Deep-
Merge
Bone conduction
8. These have been available since 10 years
and so far are mostly deployed to
overcome disability.
Enabling Deep-
Merge
Fully implantable
middle ear devices
Source: http://www.audiologyonline.com/articles/implantable-
auditory-technologies-13250
Bone conduction
communication
variants of these,
could be augmented
with inductive
charging capacities
and implanted
similarly.
9. Several motherboards today are narrow, thin
pieces of PCBs. By dropping motherboard
components not needed for Deep Merge, the
motherboard size can be further reduced. This
will create no perceivable cosmetic feature.
Most sub-dermal implants are currently
cosmetic. But a motherboard with flex/bend can
be implanted at the back of the skull, while
protected by a plate/flat packaging.Enabling Deep-
Merge
Sub-dermal implants
10. Limb extremities will host inductive charging
enabled sensor modules needed for activity
monitoring. (pressure, motion, gyro, heart rate)
Besides improving activity identification, leading
to better fitness tracking, it will also enable
advanced hands-free gaming with conventional
platforms.Enabling Deep-
Merge
Sub-dermal implants
11. Sub-dermal NFC implants could help us
wirelessly share business cards, personal
preferences, data and more with a gesture as
simple as a hand-shake.
Business card info could be directly read out in
the ear & doctors could be immediately warned
of a patient’s allergies and even provided with
real time heart rate data.
Enabling Deep-
Merge
Sub-dermal implants
12. Vocal - Microphone operates in an always on-
mode and starts a session upon a spoken
identifier. (Echo/Alexa/Siri)
Clanking of jaws - The gentle striking of lower
jaw against the upper makes a very distinct, clear
sound. Two such clanks(picked up by dental
microphone and the vibration sensor) can start
the session or indicate yes/no.
Tapping(Head/ear) - Vibration or audio sensors,
sense the tap and start the session.
Other interactions/communication permissions
could be created on a simple or user
programmable combination of these.
Completing Deep-
Merge
Interaction
13. Wireless charging modules (central or
distributed) could be part of all implanted
components, and all of these could get charged
while we’re asleep. Your sleep helps you re-
charge. Literally.
Completing Deep-
Merge
Wireless Inductive
Charging In what seems almost lifelike, when an
individual hasn’t rested for a long duration, even
his communication capabilities would drop as
the devices(and the individual) haven’t had the
time to re-charge.
14. Communications will change for good (again)
ESP Like
One could simply start the
interaction, dial a number,
speak to someone and
hang-up, all without ever
touching a device.
Enhanced Interactions
Sensors with feedback
enabled could teach us
new skills, provide
navigational cues through
vibrations.
Enhanced Privacy
Directions, weather,
answers to queries will be
received directly in the ear.
15. Deep merge will also significantly reduce device glut.
Screens, game controllers, gesture recognition devices can all work off of sensors
embedded within us.
Public screen kiosks can enable us to view information pushed to a screen, in case a
higher visual information needs to be assimilated.
Adding this level of interactivity to existing VR & AR would open up more possibilities.
16. All ideas here are based on mature technologies available today.
No challenges here are insurmountable.
And any which arise, can be solved in multiple ways.
18. 1.9 Million
years ago
Fully bipedal humans
evolved
1997
Mobile goes mass
market
2006
Launch of first 3G
smartphone
2013
64-bit compute comes
to smartphones
2017
First man & mobile
deep merge
19. Next steps?
Making it happen.
Companies involved in bionics or
institutions involved in
bionic/implant research could create a
bionic, connected human.
Theoretically, a fully functional
implementation should be possible by
end of 2017.