Fall Detection Using Single Tri-Axial Accelerometer
This paper describes a mobile phone based system which implements a fall detection algorithm using a mobile phone's built-in accelerometer which can detect falls with a high degree of accuracy.The application developed can then notify predefined guardians or emergency services with the victim's GPS coordinates displayed on a map for timely delivery of medical help.The algorithm has been tested on human subjects, and the results are also included in this paper.
Authors
- Suleman Mazhar (ORCID: https://orcid.org/0000-0002-8445-1532)
- Suhail Kazi
- Sherjeel Sikander
- Sadia Yousafzai
Institutions
- University of Bridgeport (US)
Publication Details
- Published
- 2025-04-02
- DOI
- https://doi.org/10.18260/1-2-1153-53994
- Citations
- 1
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00