Real-Time Gait Analysis Using a Single Head-Worn Inertial Measurement Unit

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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:

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Sum total of downloads: 45

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.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: article
Publishing status: acceptedVersion
Issue Date: 2018
Appears in Collections:Philosophische Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 29 64.44%
2 image of flag of United Kingdom United Kingdom 4 8.89%
3 image of flag of Pakistan Pakistan 2 4.44%
4 image of flag of Estonia Estonia 2 4.44%
5 image of flag of No geo information available No geo information available 1 2.22%
6 image of flag of United States United States 1 2.22%
7 image of flag of Taiwan Taiwan 1 2.22%
8 image of flag of Russian Federation Russian Federation 1 2.22%
9 image of flag of Brazil Brazil 1 2.22%
10 image of flag of Austria Austria 1 2.22%
    other countries 2 4.44%

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