Paper id 25201432
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This document describes a system that uses MEMS sensors to recognize hand gestures and control the movement of a wheelchair. The system consists of a MEMS accelerometer, microcontroller, RF transmission module. Hand gestures are detected by the accelerometer and transmitted to a computer via the microcontroller and wireless module. The microcontroller recognizes specific patterns from the sensor data and controls a wheelchair's motors accordingly, allowing users to steer the wheelchair with their hands. The system achieves over 98% accuracy in recognizing handwritten digits and gestures. It aims to help physically disabled users navigate within homes using only hand motions.
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Implementation Of Real Time IoT Based Health monitoring system
IRJET- Low – Cost Human Hand Prosthetic using EMG Signal with the Help of Mic...
IRJET- Low – Cost Human Hand Prosthetic using EMG Signal with the Help of Mic...
Indoor localisation and dead reckoning using Sensor Tag™ BLE.
Indoor localisation and dead reckoning using Sensor Tag™ BLE.
Continuous heart rate and body temperature monitoring system using arduino un...
Continuous heart rate and body temperature monitoring system using arduino un...
IRJET - A Casestudy on Zigbee based Patient Monitoring System
IRJET - A Casestudy on Zigbee based Patient Monitoring System
The interconnecting mechanism for monitoring regular domestic condition
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This document summarizes a research paper that analyzes and evaluates the performance of processing large data sets using Hadoop. It discusses how Hadoop Distributed File System (HDFS) and MapReduce provide parallel and distributed processing of large structured and unstructured data at scale. The paper also presents the results of experiments conducted on Hadoop to classify and cluster large data sets using machine learning algorithms. The experiments showed that Hadoop can process large data sets more efficiently and reliably compared to processing on a single computer.
Paper id 24201492
This document discusses distributed firewalls as an alternative to traditional firewalls. It provides an overview of distributed firewalls, including that they allow security policies to be centrally defined but enforced across individual endpoints. The key advantages of distributed firewalls are that they do not depend on network topology, protect from internal threats, and avoid bottlenecks since there are multiple secure entry points rather than a single point of failure. The document also reviews related work on distributed firewalls and some of their disadvantages, such as increased complexity if the central management system is compromised.
Paper id 28201438
The document describes a hybrid firefly-differential evolution algorithm for solving the economic load dispatch problem. The economic load dispatch problem involves allocating generation among power plants to minimize costs while satisfying constraints. The proposed hybrid algorithm combines the differential evolution and firefly algorithms. It was tested on a 3 unit power system and showed improved efficiency and robustness compared to other existing algorithms for solving the economic load dispatch problem.
Paper id 23201426
This document summarizes a study on assessing deposition rate in metal inert gas (MIG) welding of stainless steel. Four welding parameters - current, voltage, wire speed, and gas flow rate - were examined at two levels each using a Taguchi experimental design. Welding experiments were conducted according to the design and deposition rate was measured for each experiment. The results were analyzed using signal-to-noise ratios and ANOVA to determine the significant welding parameters affecting deposition rate. The optimal levels of parameters will be confirmed with validation experiments.
Air air bushings
H-J Enterprises manufactures air to air bushings for voltages ranging from 15kV to 38kV. The document provides detailed specifications for standard and custom bushing assemblies, including dimensions, materials used, and electrical test results. H-J Enterprises also offers electrical testing of bushings, including basic impulse, partial discharge, and cantilever load testing to certify that bushings meet appropriate standards.
Paper id 26201481
This paper discusses the optimization of an adaptive equalization system using the steepest gradient method. It presents the steepest gradient algorithm for minimizing a cost function with respect to adjustable filter parameters. Simulation results show the actual and estimated weights, true and estimated output signals, and estimation error over samples converging as the algorithm runs. The steepest gradient method provides an effective approach for removing limitations in the system and achieving weight equalization.
Paper id 27201419
The document summarizes a computational fluid dynamics (CFD) analysis of the thermal performance of a circular journal bearing. The analysis was conducted using two approaches: 1) iso-thermal, which assumes constant viscosity, and 2) thermo-hydrodynamic, which accounts for viscosity variation with temperature. Higher pressures, temperatures, and oil film forces were observed in the iso-thermal approach compared to the thermo-hydrodynamic approach, which more accurately models the viscosity decrease with increasing temperature. The rise in these parameters increased with journal speed for both approaches, but was greater for the iso-thermal case that neglects viscosity variation effects.
Paper id 27201434
The document presents a generic architecture for an area-efficient 4-input binary coded decimal (BCD) adder implemented on an FPGA. It modifies a previously proposed area-efficient 3-input decimal adder to support a generic number of inputs. The proposed 4-input adder has four stages: 1) carry save addition and propagation/generation signal generation, 2) carry network, 3) correction stage, and 4) final addition. Simulation results on a Xilinx FPGA for different number of bits and inputs are presented, showing the adder has reduced delay and area compared to previous approaches. The generic approach can support addition of any number of inputs.
2d work slide show
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can have mental and physical health benefits over time by helping people feel more relaxed and better able to handle life's stresses.
Paper id 25201482
1) The document presents an integrated technique for detecting brain tumors in MRI images that combines modified texture-based region growing segmentation and edge detection.
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3) Experimental results show the integrated technique provides more accurate tumor detection compared to individual segmentation methods and manual segmentation.
Instituto tecnologico de cerro azul
El documento discute la relación entre el diseño y la cultura. Explica que el diseño refleja la historia y cultura humana y puede usarse para desarrollar habilidades e instituciones. También señala que el diseño contribuye al bienestar humano a través de la calidad de los productos y servicios. Finalmente, concluye que la relación entre diseño y cultura ha cambiado en los últimos años para fomentar la innovación y el desarrollo.
Paper id 27201411
This document discusses challenges faced by small and medium enterprises (SMEs) in India in adopting enterprise resource planning (ERP) systems. SMEs are an important part of the Indian economy, contributing about 17% to GDP. However, adoption of IT and ERP systems among SMEs has been unsatisfactory. The document outlines issues that Indian SMEs face in ERP implementation such as lack of skills, resources, and infrastructure. It also discusses challenges SMEs face in areas like financing, skills, production capacity, and accessing global markets. ERP systems could help increase SME efficiency and productivity if implemented successfully despite these challenges.
Paper id 2320147
This document discusses the performance analysis of different equalizers used to reduce inter-symbol interference (ISI) in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. It implemented a 2x2 MIMO channel with four equalizers - zero forcing (ZF), minimum mean square error (MMSE), zero forcing parallel interference cancellation (ZFPIC), and maximum likelihood (ML). The results found that the maximum likelihood technique provided the best performance, giving a 2.2 dB improvement over the next best method, ZFPIC. The document provides background on MIMO-OFDM systems and reviews previous research analyzing the performance of different equalization techniques in reducing ISI.
Paper id 212014101
This document describes the development and temperature analysis of a 2D compound parabolic concentrating solar collector. The collector consists of a flat mild steel absorber plate surrounded by two stainless steel parabolic reflectors. Experiments were conducted to measure the temperature of the absorber plate, aperture, and reflectors over the course of a day. Results showed that the absorber plate reached the highest temperatures, exceeding 100°C, due to its high absorption of concentrated solar radiation from the reflectors. In conclusion, the absorber plate design successfully achieved maximum heating compared to the other surfaces of the 2D collector.
Paper id 25201492
This document discusses using Poisson's equation to extract features from human actions represented as space-time shapes. It begins by introducing how human actions can be represented as 3D shapes formed by concatenating 2D silhouettes over time. It then discusses how solving Poisson's equation on these space-time shapes allows extracting useful features like local space-time saliency, orientation, and dynamics. These features capture properties of the pose and motion of body parts and are shown to be effective for tasks like action recognition and clustering. The method is fast, applicable in many scenarios, and robust to issues like occlusions and scale/viewpoint changes.
Daniela ruiz guzmán
Daniela expresa la importancia de ser valiente ante las dificultades de la vida y de creer en uno mismo y sus capacidades. También enfatiza la necesidad de superar los límites personales y esforzarse para alcanzar los sueños, sin rendirse a pesar de los obstáculos. Finalmente, destaca que los sueños pueden volverse realidad si se lucha por ellos.
Paper id 21201458
This document discusses security issues with cloud computing and proposes solutions using encryption algorithms. Specifically, it discusses data integrity and theft issues with cloud storage. It then proposes using encryption algorithms like Triple DES, AES, and Blowfish to secure data stored in the cloud. The document reviews related work applying encryption to cloud security and evaluates the performance of different encryption algorithms for securing cloud storage. It concludes that AES encryption provides a suitable algorithm to address cloud security concerns.
Paper id 2920142
This document summarizes a study comparing the design of an industrial building using a pre-engineered building (PEB) concept versus a conventional steel building (CSB) concept. The building was designed for both concepts using structural analysis software, with wind loads as the critical design factor. The results showed that PEBs are advantageous over CSBs due to the ability of PEBs to use optimally tapered sections tailored for bending moment requirements, saving on excess steel and reducing costs compared to the standard sections used in CSBs.
Paper id 25201485
This document provides a comparison of pre-engineered steel buildings and conventional steel buildings. It first reviews the components and design loads of conventional industrial steel buildings, which use roof trusses. It then discusses the concept and components of pre-engineered buildings, which use prefabricated tapered steel frames. Finally, it summarizes the key advantages of pre-engineered buildings, which include lighter weight, faster construction, lower cost, and better seismic performance compared to conventional steel buildings.
Paper id 21201422
This document describes an ARM7-based patient health monitoring system that continuously monitors parameters like temperature, heartbeat, and ECG of ICU patients. Sensors measure the parameters and send them to an ARM7 microprocessor which converts the analog signals to digital form. The parameters are then transmitted to a server in real-time via GPRS using HTTP protocol. This allows doctors to continuously monitor patient vital signs from remote locations. The system aims to address limitations of existing systems that only transmit data during emergencies and have limited wireless range.
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This document describes a MEMS accelerometer-based system for hand gesture recognition. The system uses a portable device containing a triaxial accelerometer, microcontroller, and wireless transmission module. Users can write digits and make gestures, and the accelerometer measures the motions. A trajectory recognition algorithm processes the acceleration signals through preprocessing, feature generation/selection, and classification. The algorithm aims to accurately recognize gestures with high recognition rates. An experiment tests the algorithm on handwritten digit recognition with promising results.
1886 1892
This document summarizes research on developing a portable device using a MEMS accelerometer for hand gesture recognition. The device consists of a triaxial accelerometer, microcontroller, and wireless transmission module. It measures acceleration signals from hand motions and transmits them to a computer for trajectory recognition using a recognition algorithm. The algorithm processes the acceleration data through steps like filtering, feature extraction, and classification to identify gestures and enable control of electronic devices through hand motions. The research aims to create an accurate, low-cost gesture recognition system using a single accelerometer without additional sensors.
A Digital Pen with a Trajectory Recognition Algorithm
Abstract : Now a days, the development of miniaturization technologies in electronic circuits and components has seriously decreased the dimension and weight of consumer electronic products, those are smart phones and handheld computers, and thus prepared them more handy and convenient. This paper contains an accelerometer-based digital pen for handwritten digit and gesture trajectory recognition applications. The digital pen consists of a triaxial accelerometer, a microcontroller, and an Zigbee wireless transmission module for sensing and collecting accelerations of handwriting and gesture trajectories. with this project we can do human computer interaction. Users can utilize this pen to write digits or make hand gestures, and the accelerations of hand motions calculated by the accelerometer are wirelessly transmitted to a computer for online trajectory recognition. So, by varying the position of mems (micro electro mechanical systems) we can capable to show the alphabetical characters in the PC. The acceleration signals calculated from the triaxial accelerometer are transmitted to a computer via the wireless module. Keywords - ARM, Zigbee, Sensors module
A Digital Pen with a Trajectory Recognition Algorithm
Abstract : Now a days, the development of miniaturization technologies in electronic circuits and components has seriously decreased the dimension and weight of consumer electronic products, those are smart phones and handheld computers, and thus prepared them more handy and convenient. This paper contains an accelerometer-based digital pen for handwritten digit and gesture trajectory recognition applications. The digital pen consists of a triaxial accelerometer, a microcontroller, and an Zigbee wireless transmission module for sensing and collecting accelerations of handwriting and gesture trajectories. with this project we can do human computer interaction. Users can utilize this pen to write digits or make hand gestures, and the accelerations of hand motions calculated by the accelerometer are wirelessly transmitted to a computer for online trajectory recognition. So, by varying the position of mems (micro electro mechanical systems) we can capable to show the alphabetical characters in the PC. The acceleration signals calculated from the triaxial accelerometer are transmitted to a computer via the wireless module. Keywords - ARM, Zigbee, Sensors module
IRJET- IoT Based Home Automation And Health Monitoring System for Physically ...
This document proposes an IoT-based home automation and health monitoring system for physically challenged individuals using gesture recognition. The system uses MEMS sensors to detect hand gestures which are then used to control home appliances like fans and lights. It also includes health monitoring sensors to monitor the user's heartbeat and detect falls using a vibration sensor. If any abnormal health readings are detected, an SMS alert will be sent using GCM cloud messaging. The system is intended to make daily tasks easier for disabled users and provide remote health monitoring assistance when caregivers are not present.
E010122431
The document describes a digital pen system for handwritten digit and gesture recognition using a trajectory recognition algorithm. The system uses a tri-axial accelerometer, ARM processor, and Zigbee module in a pen-like device to capture acceleration signals from hand motions. The signals are transmitted wirelessly and a trajectory recognition algorithm processes the data through steps of acquisition, preprocessing, feature generation/selection, and extraction to recognize digits and gestures written in air. The system aims to allow for flexible use without limitations of range, environment, or surface that other methods impose.
Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Re...
The document describes a digital pen system for handwritten digit and gesture recognition using a trajectory recognition algorithm. The system uses a tri-axial accelerometer, ARM processor, and Zigbee module in a pen-like device to capture acceleration signals from hand motions. The signals are transmitted wirelessly and a trajectory recognition algorithm processes the data through steps of acquisition, preprocessing, feature generation/selection, and extraction to recognize digits and gestures written in air. The system aims to allow for flexible use without limitations of range, environment, or surface that other methods impose. It provides a portable and generalized approach to human-computer interaction through writing and gestures.
Gesture Based Wireless Air Mouse using Accelerometer
The main objective of this project is to develop wireless air mouse using accelerometer sensor. This implementation is done by using a sensor which
detects hand gestures. The sensor is placed on the user side, attached to the hand to sense the movement and gives the output to a PIC microcontroller
to process it. Needed modifications are done by the PIC microcontroller. These values are transmitted through a RF module to the PC. At the receiving
end a mouse control program which contains functions to control the mouse reads these values and performs many operations which is user friendly
because it helps in many ways like changing the slide, pointing purpose and for open a folder without using mouse pad.
Analysis of Inertial Sensor Data Using Trajectory Recognition Algorithm
This paper describes a digital pen based on IMU sensor for gesture and handwritten digit gesture
trajectory recognition applications. This project allows human and Pc interaction. Handwriting
Recognition is mainly used for applications in the field of security and authentication. By using embedded
pen the user can make hand gesture or write a digit and also an alphabetical character. The embedded pen
contains an inertial sensor, microcontroller and a module having Zigbee wireless transmitter for creating
handwriting and trajectories using gestures. The propound trajectory recognition algorithm constitute the
sensing signal attainment, pre-processing techniques, feature origination, feature extraction, classification
technique. The user hand motion is measured using the sensor and the sensing information is wirelessly
imparted to PC for recognition. In this process initially excerpt the time domain and frequency domain
features from pre-processed signal, later it performs linear discriminant analysis in order to represent
features with reduced dimension. The dimensionally reduced features are processed with two classifiers –
State Vector Machine (SVM) and k-Nearest Neighbour (kNN). Through this algorithm with SVM classifier
provides recognition rate is 98.5% and with kNN classifier recognition rate is 95.5% .
Gesture final report new
The document describes a digital pen system for gesture recognition and control of devices. It contains an accelerometer to capture gesture data and a microcontroller to process the data and control output devices. The system can recognize digits 0-7 written in air and uses gestures to control a fan and light. It aims to provide an alternative interface for human-machine interaction, especially for disabled users. The hardware includes an ATmega32 microcontroller, accelerometer module, LCD display, and output devices. The system works by measuring acceleration data during gestures and identifying the gestures to control external devices.
27 9134 direction finding scheme for multi edit septian
In GPS denied conditions Unpretentious course structures that work especially with an excessive number of philosophies required after a colossal test that in the imaginative work gathering. The paper proposed an idea to overcome a occurring due to GPS denied condition in view of 3D inertial course system. The system would track the location for further improvement of an officer continuously in a multi-floor building of a particular area. In the midst of an urban fight situation an operation of lobbyist or putting out flames is really essential. The considerable number of fighters would be known about the area and development among themselves and to the military troop outside the building. This framework is valuable to lead the group appropriately in urban to protect the harmed individuals and it will demonstrate the change of overview.
IRJET - A Smart Assistant for Aiding Dumb People
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.
International Journal of Engineering Research and Development
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
The document describes the design and implementation of an electronic gesture recognition system using an accelerometer to control a robotic arm. The system uses an ADXL335 3-axis accelerometer attached to a human arm to capture gestures. The accelerometer outputs analog voltages that are converted to digital signals and transmitted wirelessly to an LPC1768 microcontroller. The microcontroller controls a KSR10 robotic arm in response to the received signals. Experiments showed the system could successfully control the robotic arm movements in both dynamic and static modes using human gestures detected by the accelerometer.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
This document describes a system to control a robotic arm wirelessly using gestures detected by an accelerometer. The system uses an ADXL335 accelerometer attached to a human arm to capture gestures. An Arduino microcontroller digitizes the analog accelerometer and flex sensor data and sends the data wirelessly to an LPC1768 Cortex M3 microcontroller board. The LPC1768 controls the movements of a 5-axis robotic arm through motor drivers based on the received gesture character commands. The goal is to allow more intuitive control of industrial robots through wireless gesture recognition compared to traditional teach pendants.
Smart Voice Controlled Wheelchair
Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.
A haptic feedback system based on leap motion controller for prosthetic hand ...
Leap motion controller (LMC) is a gesture sensor consists of three infrared light emitters and two infrared stereo cameras as tracking sensors. LMC translates hand movements into graphical data that are used in a variety of applications such as virtual/augmented reality and object movements control. In this work, we intend to control the movements of a prosthetic hand via (LMC) in which fingers are flexed or extended in response to hand movements. This will be carried out by passing in the data from the Leap Motion to a processing unit that processes the raw data by an opensource package (Processing i3) in order to control five servo motors using a microcontroller board. In addition, haptic setup is proposed using force sensors (FSR) and vibro-motors in which the speed of these motors is proportional to the amount of the grasp force exerted by the prosthetic hand. Investigation for optimal placement of the FSRs on a prosthetic hand to obtain convenient haptic feedback has been carried out. The results show the effect of object shape and weight on the obtained response of the FSR and how they influence the locations of the sensors.
Hand Motion Gestures For Mobile Communication Based On Inertial Sensors For O...
This project presents system based on inertial sensors and gesture recognition algorithm for SMS or calling for old age people. Users hold the device to make hand gestures with their preferred handheld style. Hand motions generate inertial signals, which are wirelessly transmitted to a computer for recognition. Here DTW recognition algorithm is used for recognition of hand gestures. Zigbee is used at the transmission section of inertial device to transmit sensor values and at the receiver section of PC to receive values. Recognized gesture is send to the microcontroller for further processing which gives AT commands to GSM to selects the SMS or calling option to the person. GSM model is used for the SMS or calling. An accelerometer-based gestures recognition systems that uses only a single 3-axis accelerometer. 3-axis accelerometer recognizes gestures, where gestures here are hand movements. DTW algorithm is used in this project for recognition. The proposed DTW-based recognition algorithm includes the procedures of inertial signal acquisition, motion detection, template selection, and recognition. Here „a‟, „b‟, „c‟, „d‟, „e‟, „f‟, „g‟, „h‟, „o‟, „v‟ letters are recognized in this system . This system can be used for the emergency calling or emergency SMS by the old age people or blind people from the home.
Implementation of fuzzy logic using mems accelerometer for controlling bldc
This document summarizes a study that implemented a fuzzy logic controller using an accelerometer to control the speed of a brushless DC motor. The system uses an Arduino microcontroller to read analog accelerometer data and convert it to digital values. A fuzzy logic table maps accelerometer readings to motor duty cycles. An RF transmitter sends the duty cycle data wirelessly to an MSP430 microcontroller. The MSP430 controls the motor speed using an L293D driver circuit. Experimental results showed the fuzzy logic controller could successfully map accelerometer gestures to different motor duty cycles and speeds. The system demonstrates using fuzzy logic and wireless transmission for contactless motor speed control.
Implementation of fuzzy logic using mems accelerometer for controlling bldc
This document summarizes a study that implemented a fuzzy logic controller using an accelerometer to control the speed of a brushless DC motor. The system uses an Arduino microcontroller to read analog accelerometer data and convert it to digital values. A fuzzy logic table maps accelerometer readings to motor duty cycles. An RF transmitter sends the duty cycle value wirelessly to an MSP430 microcontroller. The MSP430 controls the motor speed using an L293D driver circuit. Experimental results showed the fuzzy logic controller could successfully map accelerometer gestures to different motor duty cycles and speeds. The system demonstrates using fuzzy logic and wireless transmission for motor control based on accelerometer input.
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A Digital Pen with a Trajectory Recognition Algorithm
A Digital Pen with a Trajectory Recognition Algorithm
A Digital Pen with a Trajectory Recognition Algorithm
A Digital Pen with a Trajectory Recognition Algorithm
IRJET- IoT Based Home Automation And Health Monitoring System for Physically ...
IRJET- IoT Based Home Automation And Health Monitoring System for Physically ...
Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Re...
Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Re...
Gesture Based Wireless Air Mouse using Accelerometer
Gesture Based Wireless Air Mouse using Accelerometer
Analysis of Inertial Sensor Data Using Trajectory Recognition Algorithm
Analysis of Inertial Sensor Data Using Trajectory Recognition Algorithm
27 9134 direction finding scheme for multi edit septian
27 9134 direction finding scheme for multi edit septian
International Journal of Engineering Research and Development
International Journal of Engineering Research and Development
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
A haptic feedback system based on leap motion controller for prosthetic hand ...
A haptic feedback system based on leap motion controller for prosthetic hand ...
Hand Motion Gestures For Mobile Communication Based On Inertial Sensors For O...
Hand Motion Gestures For Mobile Communication Based On Inertial Sensors For O...
Implementation of fuzzy logic using mems accelerometer for controlling bldc
Implementation of fuzzy logic using mems accelerometer for controlling bldc
Implementation of fuzzy logic using mems accelerometer for controlling bldc
Implementation of fuzzy logic using mems accelerometer for controlling bldc
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Paper id 25201432
- 1. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 MEMS Based Moving Chair Control by Alphabet Navitha1, Mr.S.Vinod Kumar2, Mr.R.Sanmuga Sundaram K.Navitha 1pg pg scholar, 2Project coordinator, 3Asst.profeessor, Department 1,2,3Aksheyaa College of Engineering Recognition 1,2,3Department of ECE, 1,2,3Pulidivakkam, 1,2,3Kanchipuram 1rknavitha@gmail.com rknavitha@com, 2aceece12@gmail.com, 3rsanmu88@gmail.com Abstract: This paper presents MEMS based alphabet recognition and moving chair control. It sensor, Microcontroller (PIC16F877A), RF transmission module handwriting and gesture trajectories. motions measured by the accelerometer are transmitted to a computer for online trajectory recognition. So, by changing the position of MEMS (micro electro mechanical systems) we can able to show in the PC. The acceleration signals measured from the tri wireless module. Gesture recognition module sends analog voltages in three directions corresponding to each orientation to the microcontroller. Output of the gesture recognition module is interfaced to system for recognizing a specific pattern which user wants to communicate. 1. Pattern recognition. 2. Wheel chair movement. The pattern recognition using MEMS based hand gesture. is driven by wireless technology. The user can wear it to his head or hand like a band and can operate it by tilting the MEMS sensor. Also the dumb user c designed the wheel chair to move in specified directions. Key words: MEMSADXL335, DC motor, 1. WORKING Gesture means a movement of part of the body, especially a hand or the head, to idea or meaning. Here the project is implemented based on hand gesture. Based on the hand movement wheelchair will be controlled. To recognize this hand gesture MEMS accelerometer is used. Gesture recognition module sends analog voltages in thre directions corresponding to each orientation to the microcontroller. Output of the gesture recognition module is interfaced to system for recognizing a specific pattern which user wants to communicate. Added we have specified few commands to the controller to recognize few specific pattern and these commands will be passed through RF module. This controller controls the wheelchair based on received gesture. To control wheelchair DC motors will be drive through the microcontroller where DC motors are connected to the wheels of wheelchair, but DC motors will not be driven directly by microcontroller as their operating voltages are not compatible. Hence to drive motor L293D motor driver is used. for sensing and collecting accelerations of Users can write digits or make hand gestures, and the accelerations of hand tri-axial accelerometer are transmitted to a computer via the ntation In this project we have designed two phases: This device is portable and this system operation can convey the thoughts using pattern recognition and for few patterns we have L293D Motor driver express an three er cted 2. HARDWARE DESIGN CIRCUIT DIAGRAM Fig.1 Circuit Diagram of The triaxial accelerometer measures the acceleration signals generated by a user’s hand motions. The 87 , Sundaram3, rsanmu88@com, consists of MEMS the alphabetical characters an Hardware
- 2. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 88 microcontroller collects the analog acceleration signals and converts the signals to digital ones via the A/D converter. The transceiver transmits the acceleration signals to a personal computer (PC). MEMSADXL335 has 3-axis sensor, it gets acceleration signal by hand gesture that signal is measure of analog voltage. Then that signal is amplified by AC amplifier and demodulated. Modulated signal is given to output amplifier corresponding to their axis. It consumes voltage of 3V which is supplied through voltage regulator KA7805. The output of the signal is connected with PORTA of PIC controller.PIC controller collects the acceleration signal from MEMS sensor. Then it converts analog signal into digital signal and amplifies them. Those 3-axis signals are converted by using 10-bit ADC which is inbuilt in PIC16F877A. The measured values of x,y,z axis are displayed in LCD. The MAX232 IC is used to convert the TTL/CMOS logic levels to RS232 logic levels during serial communication of microcontrollers with PC. It is used for transfer the measured signal values from controller to PC. In PIC16F877A PORTD is used for to connect MAX232.Microsoft visual studio8 is used for display the alphabets and numbers in PC. Visual basic code is debugged and by tilting the MEMS the letters are recognized in PC. Fig.2 Hardware 3. EXPERIMENTAL RESULT PICTORIAL DIGIT TRAJECTORIES Fig.3 Pictorial Representation We have tilted the digital pen according to the direction shown in the above figure. MEMS get the acceleration signal and send to controller. It recognizes the correct digits then convert analog signal into digital signal and the signal wirelessly transmitted to PC. Fig.4 Pattern of Hand Gesture for Alphabets 4. CONCLUSION This paper has presented a systematic trajectory recognition for acceleration-based handwriting and gesture recognition. In the experiments, we used 2-D handwriting digits and 3-D hand gestures to validate the effectiveness of the proposed device. The overall handwritten digit recognition rate was 98%, and the gesture recognition rate was also 98.75%. By using this system physically challenged people finds easy way to navigate within the home using wheelchair without any external aid. This provides ease of operation as the system is user friendly and size is small. MEMS accelerometer is a single chip with small size and low cost. Because of their small size and weight, Accelerometers are attached to the fingertips and back of the hand. Disabled persons can easily communicate with others. Used for trajectory recognition applications, conferences and seminars, invisible persons to write exams. This result encourages us to further investigate the possibility of
- 3. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 89 using our digital pen as an effective tool for HCI applications. REFERENCES [1] Z. Dong, G. Zhang, Y. Luo, C. C. Tsang, G. Shi, S. Y. Kwok, W. J. Li,P. H. W. Leong, and M. Y. Wong, “A calibration method for MEMS inertial sensors based on optical tracking,” in Proc. IEEE Int. Conf. Nano/Micro Eng. Mol. Syst., 2007, pp. 542–547. [2] Preece, S.J.; Goulermas, J.Y.; Kenney, L. P J; Howard, D., "A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data," Biomedical Engineering, IEEE Transactions on , vol.56, no.3, pp.871,879, March 2009 [3] Won, S.-h.P.; Golnaraghi, F.; Melek, W.W., "A Fastening Tool Tracking System Using an IMU and a Position Sensor With Kalman Filters and a Fuzzy Expert System," Industrial Electronics, IEEE Transactions on , vol.56, no.5, pp.1782,1792, May 2009 [4] Won, S.-h.P.; Melek, W.W.; Golnaraghi, F., "A Kalman/Particle Filter-Based Position and Orientation Estimation Method Using a Position Sensor/Inertial Measurement Unit Hybrid System," Industrial Electronics, IEEE Transactions on, vol.57, no.5, pp.1787, 1798, May 2010 [5] Yoon Sang Kim; Byung Seok Soh; Sang-Goog Lee, "A new wearable input device: SCURRY," Industrial Electronics, IEEE Transactions on , vol.52, no.6, pp.1490,1499, Dec. 2005 [6] Wang, Jeen-Shing; Hsu, Yu-Liang; Jiun-Nan Liu, "An Inertial-Measurement-Unit-Based Pen With a Trajectory Reconstruction Algorithm and Its Applications," Industrial Electronics, IEEE Transactions on , vol.57, no.10, pp.3508,3521, Oct. 2010 [7] Zhuxin Dong; Wejinya, U.C.; Li, W.J., "An Optical-Tracking Calibration Method for MEMS-Based Digital Writing Instrument," Sensors Journal, IEEE , vol.10, no.10, pp.1543,1551, Oct. 2010