Human activities recognition using smart phones
Embedded sensors in smartphones provide real-time information of users' movements and activities. This becomes base for human activity recognition to made smart environment where user can monitor their physical health and life style properly. Many prominent machine learning techniques are avail...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/140238 |
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Institution: | Nanyang Technological University |
Language: | English |
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