stride length
This dataset contains gait analysis data from 120 healthy individuals, aimed at assessing and quantifying overall gait quality through a novel gait index. Key gait parameters include walking speed, maximum knee flexion angle, stride length, and stance-swing phase ratio. Additionally, demographic information such as gender, age, height, weight, and BMI is provided for each subject. These parameters were systematically selected for their significance in indicating gait mechanics and deviations from normal gait patterns.
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Dataset of a smart insole that are used to estimating stride length. Eight participants wore a pair of smart insoles and Gait Up. For a period of six minutes, each participant walked back and forth on a predefined 20-meter pathway in the indoor setting, and the numbers of round trips and strides taken were counted. The smart insole is equipped of five pressure sensors and one 3D accelerometer. The actual total distance was calculated by multiplying the number of round trips by 40 meters.
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