Usman, Aminu Bello ORCID: https://orcid.org/0000-0002-4973-3585, Daniel, Tang and Abdulrazaq, Abba (2023) Fall Detection System with Accelerometer and Threshold-based Algorithm. YHIoT Journal, 1 (1).

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Abstract

Most presently available fall detection systems that are marketed for commercial use predominantly consist of wearable technologies. These technologies often involve a device positioned on the wrist, which may lead to the occurrence of false positive alerts due to the movements of the wrist. This paper proposed a fall detection system that aims to improve both reliability and cost-effectiveness. The system is designed to promptly inform surrounding individuals of their need for assistance in emergency situations. The fall detection system we propose consists of an accelerometer and a gyroscope, which collectively calculate acceleration, orientation, and various other motion characteristics. The resulting system demonstrated a sensitivity of 90%, a specificity of 85%, and an accuracy of 87.5%.

Item Type:	Article
Status:	Published
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) T Technology > T Technology (General) > T201 Patents. Trademarks
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/8671

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