Human Activity Recognition Using Thigh Angle Derived from Single Thigh Mounted IMU Data

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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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Bibliographic Details
Main Authors:	Abhayasinghe, Kahala, Murray, Iain
Other Authors:	N/A
Format:	Conference Paper
Published:	N/A 2014
Subjects:	indoor navigation inertial sensors activity recognition Human gait analysis
Online Access:	http://www.ipin2014.org/wp/pdf/2A-2.pdf http://hdl.handle.net/20.500.11937/34678

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