Human Activity Recognition Using Thigh Angle Derived from Single Thigh Mounted IMU Data
Accurate human activity recognition is a challenging topic of research in many areas. A common approach to activity recognition is to use accelerometers and/or gyroscopes to detect trunk or leg movement. This paper present a novel approach to detect human activities based on thigh angle computed usi...
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| Format: | Conference Paper |
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N/A
2014
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| Online Access: | http://www.ipin2014.org/wp/pdf/2A-2.pdf http://hdl.handle.net/20.500.11937/34678 |