Comparing Gait Trials with Greedy Template Matching
AbstractGait assessment and quantification have received an increased interest in recent years. Embedded technologies and low-cost sensors can be used for the longitudinal follow-up of various populations (neurological diseases, elderly, etc.). However, the comparison of two gait trials remains a tricky question as standard gait features may prove to be insufficient in some cases. This article describes a new algorithm for comparing two gait trials recorded with inertial measurement units (IMUs). This algorithm uses a library of step templates extracted from one trial and attempts to detect similar steps in the second trial through a greedy template matching approach. The output of our method is a similarity index (SId) comprised between 0 and 1 that reflects the similarity between the patterns observed in both trials. Results on healthy and multiple sclerosis subjects show that this new comparison tool can be used for both inter-individual comparison and longitudinal follow-up. View Full-Text
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Vienne-Jumeau, A.; Oudre, L.; Moreau, A.; Quijoux, F.; Vidal, P.-P.; Ricard, D. Comparing Gait Trials with Greedy Template Matching. Sensors 2019, 19, 3089.
Vienne-Jumeau A, Oudre L, Moreau A, Quijoux F, Vidal P-P, Ricard D. Comparing Gait Trials with Greedy Template Matching. Sensors. 2019; 19(14):3089.Chicago/Turabian Style
Vienne-Jumeau, Aliénor; Oudre, Laurent; Moreau, Albane; Quijoux, Flavien; Vidal, Pierre-Paul; Ricard, Damien. 2019. "Comparing Gait Trials with Greedy Template Matching." Sensors 19, no. 14: 3089.
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