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Real time joint angle measurement method using multiple wearable sensors

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dc.contributor.author Bandara, T.Y.
dc.contributor.author Weerakoon, D.
dc.contributor.author Wijayasekara, K.U.
dc.date.accessioned 2018-07-24T02:57:47Z
dc.date.available 2018-07-24T02:57:47Z
dc.date.issued 2018
dc.identifier.citation Bandara,T.Y. , Weerakoon,D. and Wijayasekara,K.U. (2018). Real time joint angle measurement method using multiple wearable sensors. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.01. en_US
dc.identifier.issn 2613-8662
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/18938
dc.description.abstract With the advent of wearable products, many wearable devices have come to the market that are trying to understand human behavior. A key challenge of this would be to understand human body motion as the human body can be modelled as an articulated system with complex joint movements. This paper contributes with a real-time joint angle measurement method with multiple wearable sensors using quaternions, which describes the orientation and rotation in 3D world. The study propose two approaches solving this: (1) quaternion vector rotation based joint angle calculation, (2) gravity vector based joint angle calculation. Each approach has its limitations and a real world application might be able to fuse both methods to get a reasonable output. In this method, we place multiple wearable inertial measurement units (IMU) in known locations of the body, calibrate them to remove errors of placement and calculate real time joint angles based on sensor outputs. en_US
dc.language.iso en en_US
dc.publisher International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 en_US
dc.subject Iinertial measurement unit en_US
dc.subject Joint angle measurement en_US
dc.subject Quaternions en_US
dc.subject Wearable sensors en_US
dc.title Real time joint angle measurement method using multiple wearable sensors en_US
dc.type Article en_US


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