Human Fall Detection and Tracking System using MEMS Sensor

Volume 6 Issue 3 October - December 2017

Research Paper

Human Fall Detection and Tracking System using MEMS Sensor

A. Saipriya *, V. Meena**, M. Abdul Maalik***, D. Pravinraj****, P. Jegadeeshwari*****

*-**** UG Scholar, Department of Electronics and Communication Engineering, C.K. College of Engineering and Technology, Cuddalore, Tamil Nadu, India.

***** Assistant Professor, Department of Electronics and Communication Engineering, C.K. College of Engineering and technology, Cuddalore, Tamil Nadu, India.

Saipriya. A., Meena. V., Maalik. M. A., Pravinraj. D., Jegadeeshwari. P. (2017). Human Fall Detection and Tracking System using MEMS Sensor. i-manager's Journal on Wireless Communication Networks, 6(3), 20-24. https://doi.org/10.26634/jwcn.6.3.14257

Abstract

This paper introduces fall detection and tracking system with airbag for the protection and prevention of falls of people of all age groups. The proposed system uses Micro Electro Mechanical Systems (MEMS) based inertia measurement unit, which is suitable for a small, lightweight hip protector system. This system measures and recognizes movements of the person to trigger the inflation of the airbags before the person falls on the ground. The advantage of this system is that Short Message Service (SMS) can be delivered to the contacts stored in the Global System for Mobile (GSM) module, if the person does not return to normal condition for a long time after the fall. Also, this system can be worn easily in the upper portion of the waist enabling the users to use outdoor.