Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses
IEEE Robotics and Automation Letters(2020)
摘要
Developing intelligent prosthetic controllers to recognize user intent across users is a challenge. Machine learning algorithms present an opportunity to develop methods for predicting user's locomotion mode. Currently, linear discriminant analysis (LDA) offers the standard solution in the state-of-the-art for subject dependent models and has been used in the development of subject independent app...
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关键词
Prosthetics and exoskeletons,wearable robots,human performance augmentation,mode classification,transfemoral amputation
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