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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2019
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/20017/ https://doi.org/10.1016/j.inffus.2018.06.002 |
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