Conference
An Analysis of Current Fall Detection Systems and the Role of Smart Devices and Machine Learning in Future Systems
Abstract
Fall detection and prevention is a critical area of research especially as senior populations grow around the globe. This paper explores current fall detection systems, and proposes the integration of smart technology into existing fall detection systems via smartphones or smartwatches to provide a broad spectrum of opportunities for data collection and analysis. We created and evaluated three ML classifiers for fall detection, namely, k-NN, …
Authors
Sykes ER
Series
Lecture Notes in Networks and Systems
Volume
652
Pagination
pp. 502-520
Publisher
Springer Nature
Publication Date
2023
DOI
10.1007/978-3-031-28073-3_36
Conference proceedings
Lecture Notes in Networks and Systems
ISSN
2367-3370