Abstract
The human gait analysis by using wavelets transform of signal obtained from six inertial ProMove mini sensors is proposed in this work. The angular velocity data measured by the gyro sensors is used to estimate the translational acceleration in the gait analysis. As a result, the flexion–extension, the adduction–abduction joint angles of the hips, flexion–extension of the knees and dorsi and plantar flexion of the ankle are calculated. After measurements we propose to use one of wavelet transform (wavelet type) in order to analyze the signals, indicate a characteristic feature and compare them.
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Glowinski, S., Blazejewski, A., Krzyzynski, T. (2017). Human Gait Feature Detection Using Inertial Sensors Wavelets. In: González-Vargas, J., Ibáñez, J., Contreras-Vidal, J., van der Kooij, H., Pons, J. (eds) Wearable Robotics: Challenges and Trends. Biosystems & Biorobotics, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-46532-6_65
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DOI: https://doi.org/10.1007/978-3-319-46532-6_65
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