Hwang, T.-H.; Reh, J.; Effenberg, A.O.; Blume, H.: Real-Time Gait Analysis Using a Single Head-Worn Inertial Measurement Unit. In: IEEE Transactions on Consumer Electronics 64 (2018), Nr. 2, S. 240-248. DOI: https://doi.org/10.1109/TCE.2018.2843289
Zusammenfassung: | |
The background of this paper is to apply advanced real-time gait analysis to walking interventions in daily life setting. A vast of wearable devices provide gait information but not more than pedometer functions such as step counting, displacement, and velocity. This paper suggests a real-time gait analysis method based on a head-worn inertial measurement unit. A novel analysis method implements real-time detection of gait events (heel strike, toe off, and mid-stance phase) and immediately provides detailed spatiotemporal parameters. The reliability of this method was proven by a measurement with over 11 000 steps from seven participants on a 400-m outdoor track. The advanced gait analysis was conducted without any limitation of a fixed reference frame (e.g., indoor stage and infrared cameras). The mean absolute error in step-counting was 0.24%. Compared to a pedometer, additional gait parameters were obtained such as foot-ground contact time (CT) and CT ratio. The gait monitoring system can be used as real-time and long-term feedback, which is applicable in the management of the health status and on injury prevention. © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
Lizenzbestimmungen: | Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
Publikationstyp: | Article |
Publikationsstatus: | acceptedVersion |
Erstveröffentlichung: | 2018 |
Die Publikation erscheint in Sammlung(en): | Philosophische Fakultät |
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