What is it about?
Detecting human fall in real time using wearable sensor to measure acceleration and angular velocity. Edge computing based on machine learning algoritme is used for online fall event identification. Alerting and notification can be performed through an IoT paltform connected to the WSN network.
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This page is a summary of: Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection, IET Wireless Sensor Systems, September 2020, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-wss.2020.0091.
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