基于过程神经元的智能仿生腿步态识别
首发时间:2008-01-09
摘要:本文通过六维力传感器和加速度传感器检测智能仿生腿的行走信息,采用基于三次样条函数拟合的过程神经网络模型,对智能仿生腿各种路况下的步态识别进行了研究。三次样条函数具有光滑性、可积性、阶数低、参数少等优点,有效地简化了过程神经网络的时空聚合运算。经过实验验证了该方法是切实可行性
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Study of Procedure Neural Networks based Gait Identification for Intelligent Bionic Leg
Abstract:This paper studies the gait recognition based on gait data collected from a six-dimension force sensor and an accelerometer using spline-function procedure neural network. The advantage of lubricity, calculability, lower exponentials and less parameters of spline function simplifies aggregation operation of procedure neural network. Experiment results prove the feasibility of the proposed method.
Keywords: Intelligent bionic leg procedure neural network spline function
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No.1790317894411998****
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