Abstract:A new wave of electric vehicles for personal mobility is currently crowding public spaces. They offer a sustainable and efficient way of getting around in urban environments, however, these devices bring additional safety issues, including serious accidents for riders. Thereby, taking advantage of a connected personal mobility vehicle, we present a novel on-device Machine Learning (ML)-based fall detection system that analyzes data captured from a range of sensors integrated on an on-board unit (OBU) prototype… Show more
“…Tiny Machine Learning (TinyML) wearables to perform fall detection, activity recognition, and vital sign monitoring, significantly improving patient care and device efficiency[100][101][102][103][104].…”
This thesis contains material from three papers published in the following peer-reviewed conferences and journals, in which I am listed as a co-author.
“…Tiny Machine Learning (TinyML) wearables to perform fall detection, activity recognition, and vital sign monitoring, significantly improving patient care and device efficiency[100][101][102][103][104].…”
This thesis contains material from three papers published in the following peer-reviewed conferences and journals, in which I am listed as a co-author.
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