Machine learning and statistical approaches to analysis of wearable sensory gait data
This thesis alms to investigate how machine learning and statistical approaches can be employed to support the analysis of gait patterns captured by wearable sensors data. The thesis has proposed a machine learning and statistical approaches based framework (MSGAF) for wearable sensory gait data ana...
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University of Ulster
2012
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550836 |