Fuzzy control in gait pattern classification using wearable sensors

Analysis of planar pressure is important for rehabilitation robot control and the patient's body condition detection. Walking phase information can be obtained through the analysis of planar pressure, according to the difference of different walking phase information in different environment, classification of walking the road can be get, so the patient can always understand the current environment during the walking. Planar pressure distribution is an important factor in the analysis of walking phase. This paper proposes a fuzzy logic control method for the collection of planar pressure information, extracting the feature value of the walking phase information. To classify the walking gait pattern through these feature value, the feasibility of the algorithm can be verified by experiment.

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