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A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method
2021
Journal of Sensor and Actuator Networks
This paper makes four scientific contributions to the field of fall detection in the elderly to contribute to their assisted living in the future of internet of things (IoT)-based pervasive living environments, such as smart homes. First, it presents and discusses a comprehensive comparative study, where 19 different machine learning methods were used to develop fall detection systems, to deduce the optimal machine learning method for the development of such systems. This study was conducted on
doi:10.3390/jsan10030039
fatcat:ycdwrr55pffzrdk6vnd6flfepq