A Muscle Synergy-Inspired Method of Detecting Human Movement Intentions Based on Wearable Sensor Fusion

• Published in: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING Vol. 29; pp. 1089 - 1098
• Main Authors: Liu, Yi-Xing, Wang, Ruoli, Gutierrez-Farewik, Elena M.
• Format: Journal Article Publication
• Language: English
• Published: New York IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Accuracy; Angular velocity; Ascent; Classification; Electromyography; Exoskeleton; Exoskeletons; Feature extraction; Finite state machines; Human motion; Inclination angle; Inertial platforms; Inertial sensing devices; Intent recognition; Legged locomotion; Locomotion; locomotion modes identification; Mechanical sensors; Motion perception; Multisensor fusion; muscle synergies; Muscles; Robot control; robotic exoskeletons; sensor fusion; Sensors; Stairs; Stairways; Velocity; Walking; Wearable technology

Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it is essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method of locomotion mode identification by fusing the electrom...