ANALYSIS OF COMPUTATION TIME IN FALL DETECTION SYSTEM EMBEDDED WITH WHEEL CHAIRS

Abstract
The fact that falling is often accepted as a natural part of the aging process is of little surprise. In fact, it is the impact that is of greatest concern rather than the occurrence of falls in the elderly. Typically aging people are frailer, more unstable, and have slower reactions, so they are more likely to fall and get injured than younger people. Typically, research and industry presented various practical solutions to assist the elderly and their caregivers against falls through the detection of falls and the triggering of notification alarms calling for help as soon as falls occur to diminish the fall consequences. In addition, fall probability prediction systems have recently emerged based on manipulating the medical and behavioral history of older patients to predict the possibility of falls occurring. Accordingly, caregiver response may be triggered before most fall occurrences and thus prevent falls from occurring. This paper presents an extensive review of the state-of-the-art trends and fall detection and prevention technologies that assist the elderly and their caregivers. This paper also discusses the main challenges facing elderly fall-prevention, together with suggestions for future directions for research.

Authors
G Uma Devi1, Rupayan Das2, V Malathy3
University of Engineering and Management, Jaipur, India1, University of Engineering and Management, Jaipur, India2, SR Engineering College, India3

Keywords
Fall Detection Algorithm, Wheel Chair, Hardware Implementation, Detection System
Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 6 , Issue: 1 )
Date of Publication :
April 2020
DOI :

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