A support vector machine algorithm to extract gait phases from accelerometer data
The accurate detection of gait events is crucial for clinical gait analysis. However, much of the research done so far has been for indoor experimental conditions, which are vastly different from realistic human gait. As such, resulting algorithms gathered from such studies become less useful and...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/75770 |