Fall-Sense: An Enhanced Sensor System to Predict and Detect Elderly Falls using IoMT

Laavanya Rachakonda, Daniel T. Marchand

2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)(2022)

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摘要
Falls are the greatest cause of death in elderly people. Once falling occurs, it is challenging to control the frequency of occurrences of falls. There is a possibility of reducing the frequency of occurrences of falls by monitoring and predicting the falls. With that, having a device or a system to predict the occurrences of falls can be a huge advancement in the wearable technology.
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关键词
Smart Healthcare,Smart Home,Healthcare Cyber-Physical System (H-CPS),Internet of Medical Things (IoMT),Fall prediction,Elderly health,Fall detection,Twisting,Gait
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