This paper aims to contribute to the field of human gait pattern recognition 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. We include a practical demonstration with an equal error rate of 3.
This paper aims to contribute to the field of human gait pattern recognition 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. We include a practical demonstration with an equal error rate of 3. Read More
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