Automatic pairing of inertial sensors to lower limb segments – A plug-and-play approach
Graurock D, Schauer T, Seel T (2016)
Publication Type: Journal article
Publication year: 2016
Journal
Book Volume: 2
Pages Range: 715-718
Journal Issue: 1
Abstract
Inertial sensor networks enable realtime gait analysis for a multitude of applications. The usability of inertial measurement units (IMUs), however, is limited by several restrictions, e.g. a fixed and known sensor placement. To enhance the usability of inertial sensor networks in every-day live, we propose a method that automatically determines which sensor is attached to which segment of the lower limbs. The presented method exhibits a low computational workload, and it uses only the raw IMU data of 3 s of walking. Analyzing data from over 500 trials with healthy subjects and Parkinson’s patients yields a correct-pairing success rate of 99.8% after 3 s and 100% after 5 s.
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Germany (DE)How to cite
APA:
Graurock, D., Schauer, T., & Seel, T. (2016). Automatic pairing of inertial sensors to lower limb segments – A plug-and-play approach. Current Directions in Biomedical Engineering, 2(1), 715-718. https://doi.org/10.1515/cdbme-2016-0155
MLA:
Graurock, David, Thomas Schauer, and Thomas Seel. "Automatic pairing of inertial sensors to lower limb segments – A plug-and-play approach." Current Directions in Biomedical Engineering 2.1 (2016): 715-718.
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