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- W29680479 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." @default.
- W29680479 created "2016-06-24" @default.
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- W29680479 date "2013-01-01" @default.
- W29680479 modified "2023-10-14" @default.
- W29680479 title "Automatic Linguistic Report on the Quality of the Gait of a Person" @default.
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- W29680479 doi "https://doi.org/10.1007/978-3-642-36527-0_11" @default.
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