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ZEBROS PROJECTS

WAY TO YOUR GOAL

EMBEDDED SYSTEM PROJECTS

FINAL YEAR PROJECTS IEEE PROJECTS 2013-2014 CONTACT: 9940098300, 9500075001 E-Mail:zebrosprojects@gmail.com Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS MEMS ACCELEROMETER BASED NONSPECIFIC-USER HAND GESTURE RECOGNITION

ABSTRACT: This system presents three different gesture recognition models which are capable of recognizing seven hand gestures, i.e., up, down, left, right, tick, circle, and cross, based on the input signals from MEMS 3-axes accelerometers. The accelerations of a hand in motion in three perpendicular directions are detected by three accelerometers respectively and transmitted to a PC via Bluetooth wireless protocol. An automatic gesture segmentation algorithm is developed to identify individual gestures in a sequence. To compress data and to minimize the influence of variations resulted from gestures made by different users, a basic feature based on sign sequence of gesture acceleration is extracted. This method reduces hundreds of data values of a single gesture to a gesture code of 8 numbers. Finally, the gesture is recognized by comparing the gesture code with the stored templates. Results based on 72 experiments, each containing a sequence of hand gestures (totaling 628 gestures), show that the best of the three models discussed in this system achieves an overall recognition accuracy of 95.6%, with the correct recognition accuracy of each gesture ranging from 91% to 100%. We conclude that a recognition algorithm based on sign sequence and template matching as presented in this system can be used for nonspecific-users hand-gesture recognition without the time consuming user-training process prior to gesture recognition.

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS EXISTING SYSTEM The existing system is used for separate sensor not use in MEMS. So the size of whole system is large and the performance is not good the signal is loss.

PROPOSED SYSTEM: 

Gesture recognition has also been proposed to understand the actions of a musical conductor .In our work, a miniature MEMS accelerometer based recognition system which can recognize seven hand gestures in 3-D space is built. The system has potential uses such as a remote controller for visual and audio equipment, or as a control mechanism to command machines and intelligent systems in offices and factories.

We present three different gesture recognition models, which are: 1) sign sequence and Hopfield based gesture recognition model; 2) velocity increment based gesture recognition model; and 3) sign sequence and template matching based gesture recognition model.

In these three models, in order to find a simple and efficient solution to the hand gesture recognition problem based on MEMS accelerometers, the acceleration patterns are not mapped into velocity, displacement or transformed into frequency domain, but are directly segmented and recognized in time domain. By extracting a simple feature based on sign sequence of acceleration, the recognition system achieves high accuracy and efficiency without the employment of HMM.

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS BLOCK DIAGRAM:

CONTACT: ZEBROS PROJECTS PHONE: 9940098300, 9500075001 ADVANTAGES 

Low cost

Low power

Less delay

Good efficiency

APPLICATIONS 

Sports applications

Medical applications

Health care applications

ZEBROS PROJECTS

SOFTWARE BASED

HARDWARE BASED

Networking

VLSI

Data Mining

Mat lab

Grid Computing

Robotics

Network Security

Embedded

Image Processing

Bio Medical

Web Applications

Power Systems

Mobile Computing

Power Electronics

Software Engineering

Java with Embedded

Cloud Computing

Android

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS What is IEEE? The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963 by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries. The IEEE describes itself as "the world's largest technical professional society -promoting the development and application of electro technology and allied sciences for the benefit of humanity, the advancement of the profession, and the well-being of our members." Why IEEE based projects?   

It grantees for standard It assured latest solution for problems It delivers new patented technologies at an ever-increasing pace

It access world-class technical information provided by the IEEE and cut down your research time.

OUR FEATURES

 24*7 Call Support  Project Execution through Remote System  20 Days Technical classes taken by Corporate Trainer  Unlimited Project & Technical Support through your academic  Project software Installation support

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS PROJECT SUPPORT

0th Review        

Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture 2nd Review

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Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two module  Review Document Explanation Final Review

1st Review        

Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation 3rd Review

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Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation

 Complete Code with Enhancement  Final Document (University Standard Format)  Complete Explanation for Project Concept & Code

Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300

Mems accelerometer based nonspecific user hand gesture recognition zebros ieee projects  

This system presents three different gesture recognition models which are capable of recognizing seven hand gestures, i.e., up, dow...

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