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"An end-to-end deep learning model for human activity recognition from ..."

Mohammad Mehedi Hassan et al. (2021)

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DOI: 10.1007/S11227-020-03361-4

access: closed

type: Journal Article

metadata version: 2021-03-02

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  - journals/tjs/HassanUHA21
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  - https://dblp.org/rec/journals/tjs/HassanUHA21
Mohammad Mehedi Hassan, Sana Ullah, M. Shamim Hossain, Abdulhameed Alelaiwi:
An end-to-end deep learning model for human activity recognition from highly sparse body sensor data in Internet of Medical Things environment. J. Supercomput. 77(3): 2237-2250 (2021)

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