Gait analysis: determining heel-strike and toe-off events

Cicero F. F. Costa Filho; Gustavo de Aquino e Aquino; Marly G. Ferdnandes Costa

doi:10.1117/12.2605110

10 December 2021 Gait analysis: determining heel-strike and toe-off events

Cicero F. F. Costa Filho, Gustavo de Aquino e Aquino, Marly G. Ferdnandes Costa

Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 1208804 (2021) https://doi.org/10.1117/12.2605110
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil

Abstract

For the gait phases characterization and for the gait classification (slow, normal, fast, upstairs, downstairs), it is of fundamental importance to determine the Heel-Strike and Toe-Off gait events, which correspond to the moment when the ankle hits the ground, and to the instant when the toes leave the ground, respectively. These two events allow calculating various quantitative parameters of the gait, such as number of steps and cadence, and qualitative parameters, such as the symmetry indices. In this work, we present a method for detecting the above-mentioned events, using simple LSTM neural network architectures and windows filtering through a rule set. Mean accuracies obtained for Heel-Strike and Toe-Off 97 events, respectively, were 98,50% and 97,47%.

Citation Download Citation

Cicero F. F. Costa Filho, Gustavo de Aquino e Aquino, and Marly G. Ferdnandes Costa "Gait analysis: determining heel-strike and toe-off events", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 1208804 (10 December 2021); https://doi.org/10.1117/12.2605110

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