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- W4221025811 abstract "In response to the needs of real-time and accurate detection of the human gait phase for lower limb exoskeleton, the movement of the human foot is taken as the research object, and the human gait phase division method based on human kinematics and dynamics information is studied. This paper presents a wearable foot gait analysis system based on inertial sensors and pressure sensors, and studies the human gait phase recognition method based on plantar acceleration and plantar pressure information. Based on the analysis of the relationship between the plantar acceleration–pressure information and the gait period, the adaptive neural fuzzy reasoning system is used to integrate the information of plantar acceleration and plantar pressure information so as to realize the fast gait phase division. The three proposed methods are compared with the standard results of the Vicon motion capture system by experiments. The experimental results show that the accuracy of the ANFIS method combining the acceleration information and the plantar pressure information to the human gait phase division is 99.16%." @default.
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- W4221025811 date "2022-07-01" @default.
- W4221025811 modified "2023-10-16" @default.
- W4221025811 title "Adaptive neural fuzzy reasoning method for recognizing human movement gait phase" @default.
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- W4221025811 doi "https://doi.org/10.1016/j.robot.2022.104087" @default.
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