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Design Of Motion Detection Using Tri-Axial Accelerometer For The Elderly

Lim, Hok Hong (2016) Design Of Motion Detection Using Tri-Axial Accelerometer For The Elderly. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Falls are a major public health problem among older people nowadays. Most of the fall detection device is still using the Personal Emergency Response System (PERS) which is not function automatically when a fall is detected. This issue will cause severe injuries or even death when the elderly loss of consciousness or faint after a fall. But in my project, this problem has been solved by using the automatically fall detection system by using motion sensor. The goal of this project is to design, construct and analyze the system by using the tri-axial accelerometer sensor and to develop a portable fall detection system, which is capable of automatically discriminating between falls and Activities of Daily Life (ADL). The hardware part of fall detection system is divided into two part. First part is for data acquisition in order to differentiate the acceleration of different kind of activity while another part is for the fall alert system which is capable to sending the SMS when a fall is detected. To extract the features of falls, falls data and ADL data obtained from young subjects are analyzed. The result will be collect from the different signal that produced by the accelerometer. From the experiment that has been carried out, it shows that the fall detection system can accomplished an accuracy of 96.11%. It can be concluded that, the automatically fall detection system will being a good supporting device for the elderly. So, the elderly citizen can get the medical help when the accidentally fall is happened.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Wireless sensor networks, Accelerometers, Motion detectors
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Nor Aini Md. Jali
Date Deposited: 27 Mar 2017 03:41
Last Modified: 27 Mar 2017 03:41
URI: http://digitalcollection.utem.edu.my/id/eprint/18089

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