External Reference
Real-time Gait Analysis with Accelerometer-based Smart Shoes
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 and Fitness Inc. for their line of wearables under the brand iFit.

Authors: R. Delgado-Gonzalo, J. Hubbard, P. Renevey, A. Lemkaddem, Q. Vellinga, D. Ashby, et al.

ISBN/ISSN 978-1-5090-2809-2

in 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Issue), ed New York: Ieee, 2017, pp. 148-and.