Data on Machine Learning Described by Researchers at School of Biomedical Engineering (A Standalone Computing System To Classify Human Foot Movements Using Machine Learning Techniques for Ankle-foot Prosthesis Control).

For more information on this research see: A Standalone Computing System To Classify Human Foot Movements Using Machine Learning Techniques for Ankle-foot Prosthesis Control. First, Raspberry Pi was used to acquire EMG/FMG signals and to classify foot movements in real-time using different machine learning techniques. [Extracted from the article]