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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 HMM-BASED HUMAN FALL DETECTION AND PREDICTION METHOD USING TRI-AXIAL ACCELEROMETER ABSTRACT Falls in the elderly have always been a serious medical and social problem. To detect and predict falls, a hidden Markov model (HMM)-based method using triaxial accelerations of human body is proposed. A wearable motion detection device using tri-axial accelerometer is designed and realized, which can detect and predict falls based on tri-axial acceleration of human upper trunk. The acceleration time series (ATS) extracted from human motion processes are used to describe human motion features, and the ATS extracted from human fall courses but before the collision are used to train HMM so as to build a random process mathematical model. Thus, the outputs of HMM, which express the marching degrees of input ATS and HMM, can be used to evaluate the risks to fall. The experiment results show that fall events can be predicted 200–400 ms ahead the occurrence of collisions, and distinguished from other daily life activities with an accuracy of 100%.
EXISTING SYSTEM The existing system is not a real time system. This is fully mat lab simulation. But we propose the new real time fall detection system. The existing systems are used to algorithm based simulation. This system is more delay and not efficiency.
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
PROPOSED SYSTEM The angle errors calculated from tri-axial acceleration maybe one of the reasons for misdetection of accelerometer based detection system, since their outputs consist of not only body accelerations but also the gravity. And the acceleration information at one instance is not sufficient to describe human motions, since they are processes. As for gyroscope based detection system, it brings significant errors to the calculated angular acceleration and angular position through differential and integral operations, since those low-cost gyroscopes suffer from time-varying zero shift seriously. Although these errors can be compensated using magnetograph, it takes calculation too complex to be implanted on a single chip in real-time applications. Hence, it is expected that to predict and detect fall events accurately with thresholds methods, a tri-axial accelerometer and gyroscope are needed. This system describes a reliable human fall detection and prediction method using HMM and tri-axial accelerometer, through analyzing the features of human motion series during fall processes. First, acquire tri-axial acceleration at human upper trunk from fall processes and other daily life activities. Second, extract features that describe the movements during a series of short time periods by turns to make up ATS, which characterize motion processes. Then, study the features of ATS from the course that before the collision of body with lower subjects in fall processes as training samples to build HMM, whose outputs express the marching degree of input ATS and HMM, thus it can be applied to evaluate the risks to fall. Finally, we set thresholds by compiling statistics of the outputs from different motion processes to detect and predict 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 fall events. The experiment results show that this method can predict falls in 200∼400ms before the impact and can also distinguish fall events from other daily life activities accurately. ADVANTAGE
Low cost
Low power
Less delay
APPLICATIONS
Medical applications
Sports applications
Child and old people use the system
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
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
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