Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

Activity detection and classification using different sensor modalities have emerged as revolutionary technology for real-time and autonomous monitoring in behaviour analysis, ambient assisted living, activity of daily living (ADL), elderly care, rehabilitations, entertainments and surveillance in s...

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Bibliographic Details
Main Authors: Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Al-Garadi, Mohammed Ali
Format: Article
Published: Elsevier 2019
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Online Access:http://eprints.um.edu.my/20017/
https://doi.org/10.1016/j.inffus.2018.06.002
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Institution: Universiti Malaya