Bai, Lu and Pepper, Matthew G. and Yan, Yong and Spurgeon, Sarah K. and Sakel, Mohamed (2012) Application of low cost inertial sensors to human motion analysis. In: 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. IEEE, pp. 1280-1285. ISBN 978-1-4577-1773-4. E-ISBN 978-1-4577-1772-7. (doi:10.1109/I2MTC.2012.6229349) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35796)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/I2MTC.2012.6229349 |
Abstract
In this paper the feasibility of utilizing low cost inertial sensors for human motion analysis is presented. The Xsens MTx sensor is used as the standard for comparison with the Sony Move and the Nintendo Wii (Wii Remote with Wii MotionPlus). Initial tests have been carried out by measuring upper limb range of motion and position tracking. Initial measurements utilizing kinematic modeling indicates that the MTx, whose static angle accuracy is 0.3°, can measure a movement of 10 cm with an error less than 0.05 cm. The low cost inertial sensors are capable of measuring the range of elbow flexion motion whose typical range is 150° with an error no greater than 1° and the Sony Move can track movement of 10 cm with an error less than 0.2 cm. In order to track position the system must include tri-axial accelerometers, rate gyros and magnetometers. This requirement is met by the Sony Move. The outcome is that Wii can be used for measuring upper limb range of motion and the Move for range of motion and position tracking based on the kinematic model.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/I2MTC.2012.6229349 |
Uncontrolled keywords: | tracking; magnetic sensors; accelerometers; kinematics; magnetometers |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | P.S.P. Yapp |
Date Deposited: | 29 Oct 2013 16:48 UTC |
Last Modified: | 05 Nov 2024 10:19 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35796 (The current URI for this page, for reference purposes) |
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