Motion Analysis of Elderly People Based on Fall Detection Algorithm

S. Vinuraj Kumar^1*, K. Manikandan¹ and N. Kumar²

¹Department of Biomedical Engineering, Vel Tech Multitech, Chennai-600 062, India. ²Department of Computer Science and Engineering, Vel Tech Multitech, Chennai-600 062. Tamilnadu. India

ABSTRACT: A fall is mainly due to faint (or) syncope so on performing the faint detection we can decrease the rate of bone being fractured in elders. Also falls are a major public health problem among older people; the number of systems aimed at detecting them has increased dramatically over recent years. This work can be done by means of invasive as well as non-invasive technique. Invasive technique includes the measurement of blood glucose. Hence the novelty lies as non-invasive technique which presents the usage of accelerometers for fall detection along with pressure sensors and heart rate monitor to determine the reason for the fall. There are two modules one is measuring unit and another is the detecting unit. The measuring unit measures the continuous heart rate and blood pressure thereby to determine the fall and to give a self-alarm. Accelerometer sensor has been used to record and analyze difference between fall and normal motion. It aims to be a supportive device for the elderly people. We have also identified challenges regarding performance under real-life conditions, usability and user acceptance as well as issues related to power consumption, real-time operations, sensing limitations, privacy.

KEYWORDS: Accelerometer; sensing; detection; syncope

This work is licensed under a Creative Commons Attribution 4.0 International License.