Data-driven phase extraction for anomaly detection of repetitive human movements
Human movements during a specific task usually consist of inconsistency and variations. They are caused by different strategies, the pace of movement, or even anthropometric structure of each subject. This dissertation aims to develop a norm modelling methodology that can model a generic repetitive...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2019
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/83253 http://hdl.handle.net/10220/47998 |
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