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Liu et al., 2024 - Google Patents

Human activity recognition through deep learning: Leveraging unique and common feature fusion in wearable multi-sensor systems

Liu et al., 2024

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Document ID
10202169700003795028
Author
Liu K
Gao C
Li B
Liu W
Publication year
Publication venue
Applied Soft Computing

External Links

Snippet

With the progress in IoT and AI technologies, multi-sensor fusion for human activity recognition (HAR) has garnered considerable attention. As a result of integrating diverse information from different sensors, individuals employ sensors to monitor their daily …
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Classifications

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    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • GPHYSICS
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    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
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