Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks
Abstract: We examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effects of different event-based sampling methods on a large set of experimental data with ground truth obtained from an external motion capture system. This results in a reduced wireless communication load at the cost of a slightly increased error in the calculated angles. The proposed methods are compared in terms of best balance of these two aspects. We show that the transmitted data can be reduced by 66% while maintaining the same level of accuracy.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks ; volume:2 ; number:1 ; year:2016 ; pages:711-714 ; extent:4
Current directions in biomedical engineering ; 2, Heft 1 (2016), 711-714 (gesamt 4)
- Creator
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Laidig, Daniel
Trimpe, Sebastian
Seel, Thomas
- DOI
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10.1515/cdbme-2016-0154
- URN
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urn:nbn:de:101:1-2410141655074.837011373577
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:34 AM CEST
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Associated
- Laidig, Daniel
- Trimpe, Sebastian
- Seel, Thomas
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