Real-time gait analysis with accelerometer-based smart shoes.
Annu Int Conf IEEE Eng Med Biol Soc
; 2017: 148-148c, 2017 Jul.
Article
en En
| MEDLINE
| ID: mdl-29059831
ABSTRACT
In this paper, we present the evaluation of a new smart shoe capable of performing gait analysis in real time. The system is exclusively based on accelerometers which minimizes the power consumption. The estimated parameters are activity class (rest/walk/run), step cadence, ground contact time, foot impact (zone, strength, and balance), forward distance, and speed. The different parameters have been validated with a customized database of 26 subjects on a treadmill and video data labeled manually. Key measures for running analysis such as the cadence is retrieved with a maximum error of 2%, and the ground contact time with an average error of 3.25%. The classification of the foot impact zone achieves a precision between 72% and 91% depending of the running style. The presented algorithm has been licensed to ICON Health & Fitness Inc. for their line of wearables under the brand iFit.
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Marcha
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Annu Int Conf IEEE Eng Med Biol Soc
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2017
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Article