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- W4379017338 abstract "Understanding human behaviour and incorporating users' social circumstances into computer systems are the two main objectives of the emerging academic field known as “human-centered computing”. One of the more cutting-edge, challenging, and alluring applications of the framework is the sensing of human body mobility utilizing mobile devices to gather context information on people's actions. This study suggested a deep learning-based automated fall detection solution. A collection of carefully chosen characteristics acquired by tracking human body silhouettes are input into a CNN -based classifier." @default.
- W4379017338 created "2023-06-02" @default.
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- W4379017338 date "2023-04-26" @default.
- W4379017338 modified "2023-09-23" @default.
- W4379017338 title "Fall Detection & Daily Living Activity Recognition using CNN" @default.
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- W4379017338 doi "https://doi.org/10.1109/icict57646.2023.10133971" @default.
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