Abstract
Gait analysis has been explored thoroughly during the last decade as a behavioral biometric measurement. Some areas of application include: access control, surveillance, activity monitoring and clinical analysis. Our work aims to contribute to the field of human gait modeling by providing a solution based on the computational theory of perceptions. Our model differs significantly from others, e.g., based on machine learning techniques, because we use a linguistic model to represent the subjective designer’s perceptions of the human gait process. This model is easily understood and provides good results. Using accelerometers included in a smart phone, we propose a method for producing a linguistic report about the quality of the gait in terms of homogeneity and symmetry. This type of reports could be used to analyze the evolution of the human gait after a recovery treatment and also for preventing falls in elderly people.
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Alvarez-Alvarez, A., Triviño, G. (2013). Automatic Linguistic Report on the Quality of the Gait of a Person. In: Seising, R., Tabacchi, M. (eds) Fuzziness and Medicine: Philosophical Reflections and Application Systems in Health Care. Studies in Fuzziness and Soft Computing, vol 302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36527-0_11
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DOI: https://doi.org/10.1007/978-3-642-36527-0_11
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