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A Wearable Sensor Network for Gait Analysis: A 6-Day Experiment of Running Through the Desert

Guillaume Chelius 1, 2 Christophe Braillon 3 Maud Pasquier 4, 5 Nicolas Horvais 6 Roger Pissard-Gibollet 3 Bernard Espiau 4, 5 Christine Azevedo Coste 5, *
* Corresponding author
1 DNET - Dynamic Networks
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
5 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper presents a new system for analysis of walking and running gaits. The system is based on a network of wireless nodes with various types of embedded sensors. It has been designed to allow long-term recording in outdoor environments and was tested during the 2010 "Sultan Marathon des Sables" desert race. A runner was fitted with the sensory network for six days of the competition. Although technical problems have limited the amount of data recorded, the experiment was nevertheless suc- cessful: the system did not interfere with the runner, who finished with a high ranking, the concept was validated and high quality data were ac- quired. It should be noted that the loss of some of the measurements was mainly due to problems with the cable connectors between the nodes and batteries. In this paper, we describe the technical aspects of the system developed, the experimental conditions under which it was validated, and give examples of the data obtained with some preliminary processing.
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Guillaume Chelius, Christophe Braillon, Maud Pasquier, Nicolas Horvais, Roger Pissard-Gibollet, et al.. A Wearable Sensor Network for Gait Analysis: A 6-Day Experiment of Running Through the Desert. IEEE/ASME Transactions on Mechatronics, Institute of Electrical and Electronics Engineers, 2011, 16 (5), pp.878-883. ⟨10.1109/TMECH.2011.2161324⟩. ⟨lirmm-00604988⟩



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