HIGHLIGHTS
- who: (Corresponding author Richard B. et al. from the Northwestern University Chicago, USA have published the research: Real-Time Adaptation of an Artificial Neural Network for Transfemoral Amputees Using a Powered Prosthesis, in the Journal: (JOURNAL)
- what: The work extends this idea, whereby a trained ‘baseline' classifier built on a user-independent dataset is further improved, or ‘adapted,' using an individual's unique data, during real-time use. The authors compare user-dependent and user-independent classification methods and analyze the effects of adaptation. The aim of this study was to determine if real-time . . .
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