Abstract
Bipedal gait involves the entire body but some subsystems are decisive for gait while other parts of the body play complementary roles (dynamic balance, harmony of movement, etc.). We have proposed a functional specification of gait. It is based on logical expression format and takes into account only observational kinematic aspects. The specification is open enough that it can be used in other gait analysis problems (rehabilitation, sport, children, etc.).
We have developed a prototype of an extraction system of gait features by analysing image sequences. Prototype is restricted to the analysis of the movement of the feet and it allows to determine the dynamic parameters (heel strike, toe off, stride length and time, etc.) satisfactorily. Experiments have been performed on our own dataset of 17 cases.
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Acknowledgement
This research is part of the FRASE MINECO project (TIN2013-47152-C3-2-R) funded by the Ministry of Economy and Competitiveness of Spain.
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Nieto-Hidalgo, M., Ferrández-Pastor, F.J., Valdivieso-Sarabia, R.J., Mora-Pascual, J., García-Chamizo, J.M. (2015). Vision Based Extraction of Dynamic Gait Features Focused on Feet Movement Using RGB Camera. In: Bravo, J., Hervás, R., Villarreal, V. (eds) Ambient Intelligence for Health. AmIHEALTH 2015. Lecture Notes in Computer Science(), vol 9456. Springer, Cham. https://doi.org/10.1007/978-3-319-26508-7_16
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