Neural network design
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A physically-based motion retargeting filter
ACM Transactions on Graphics (TOG)
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An intelligent prosthetic leg for above knee amputee person has been developed by Indian Institute of Information Technology -Allahabad. The leg has been called as Adaptive Modular Active Leg (AMAL). The main aim of this paper was to generate suitable damping profiles required for above knee prosthetic patients for locomotion. A detailed analysis of human gait cycle is needed to provide damping profiles to the prosthetic knee. This information is obtained from the healthy leg. A simple potentiometer sensor is fitted beside the healthy knee to measure the knee angle and strain gauges mounted below the heel, in the shoe to measure gait strain. These signals from the knee and the heel are the input that describe the gait cycle of the patient. These two signal values are cleaned using Kalman filter to reduce the sensory noise for providing better performance to our system. Human gait cycle is divided into six different phases to evaluate damping profiles. In this paper, we formulate six different damping equations to produce damping profiles for prosthetic knee. The Artificial Neural Network has been used to classify different phase of walking cycle with suitable damping value.