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A Survey Paper on Wearable Sensors based Fall Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 115 - Number 13 |
| Year of Publication: 2015 |
| Authors: Trupti Prajapati, Nikita Bhatt, Darshana Mistry |
10.5120/20211-2475
|
Trupti Prajapati, Nikita Bhatt, Darshana Mistry . A Survey Paper on Wearable Sensors based Fall Detection. International Journal of Computer Applications. 115, 13 ( April 2015), 15-18. DOI=10.5120/20211-2475
Abstract
Falling is often accepted as a natural part of the aging process Elderly people are typically, more unsteady and frailer. Thus are more likely to fall and be injured than younger individuals. Falls can have a serious affect on both the quality of life of elder people and on health as well as social care costs. In this paper, we give a comprehensive survey of different wearable sensors for fall detection and their underlying algorithms and comparing their strengths and weaknesses. Conclusion is derived with some discussions on techniques of fall detection and pros and cons to wear wearable device for fall detection.
References
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