Abstract
A sensor system for walking speed recognition is designed. The sensor system is composed of accelerometer MMA7361L and gyroscopes ENC-03, which used to obtain walking information of transfemoral amputee. The sensor system is installed in prosthetic socket. The input signal of intelligence lower limb prosthesis is provided by this system. The signal of sensor system is collected by Quanser semi-physical simulation platform. The signal is decomposed by wavelet transformation and the useful signal is reconstructed. Feature value of that signal is extracted. K-Nearest Neighbor (kNN) algorithm is used in pattern recognition. The results of experiment indicate that the sensor system has advantages of small size, sensitive response, quickly and effectively identify amputees walking speed and so on.
This work is supported by Natural Science Foundation of China (61174009) and National Science and Technology Support Program of China (2009BAI71B04).
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© 2012 Springer-Verlag Berlin Heidelberg
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Geng, Y., Peng, Y., Liu, Z., Wang, X. (2012). Walking Speed Recognition System for Transfemoral Amputee Based on Accelerometer and Gyroscopes. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34381-0_44
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DOI: https://doi.org/10.1007/978-3-642-34381-0_44
Publisher Name: Springer, Berlin, Heidelberg
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