Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG

• Published in: Applied sciences Vol. 8; no. 7; p. 1126
• Main Authors: Zia ur Rehman, Muhammad, Gilani, Syed Omer, Waris, Asim, Niazi, Imran Khan, Slabaugh, Gregory, Farina, Dario, Kamavuako, Ernest Nlandu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2018
• Subjects: Algorithms; Amputation; Artificial intelligence; autoencoders; biomedical signal processing; Chiropractic medicine; Classification; Deep learning; deep networks; Electrodes; Electromyography; intramuscular EMG; Machine learning; myocontrol; Neural networks; Pattern recognition; Prostheses; Robotics; surface EMG; Usability; New Zealand; United Kingdom > UK; United States > US

Advances in myoelectric interfaces have increased the use of wearable prosthetics including robotic arms. Although promising results have been achieved with pattern recognition-based control schemes, control robustness requires improvement to increase user acceptance of prosthetic hands. The aim of...