Prediction of Gait Cycle Percentage Using Instrumented Shoes with Artificial Neural Networks
Antonio Prado,Xiya Cao,Xiangzhuo Ding,Sunil K. Agrawal,Antonio Prado,Xiya Cao,Xiangzhuo Ding,Sunil K. Agrawal
Gait training is widely used to treat gait abnormalities. Traditional gait measurement systems are limited to instrumented laboratories. Even though gait measurements can be made in these settings, it is challenging to estimate gait parameters robustly in real-time for gait rehabilitation, especially when walking over-ground. In this paper, we present a novel approach to track the continuous gait ...
