Machine Learning for Human Motion Intention Detection

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 16; p. 7203
• Main Authors: Lin, Jun-Ji, Hsu, Che-Kang, Hsu, Wei-Li, Tsao, Tsu-Chin, Wang, Fu-Cheng, Yen, Jia-Yush
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023; MDPI
• Subjects: Calibration; Data collection; feedforward neural network (FNN); Gait; human intention detection; human–robot interaction; inertial measurement unit (IMU); Kinematics; long short-term memory (LSTM); Machine learning; Mobile applications; Neural networks; Robotics; Robots; Sensors; Technical Note; Wireless telephone software

The gait pattern of exoskeleton control conflicting with the human operator’s (the pilot) intention may cause awkward maneuvering or even injury. Therefore, it has been the focus of many studies to help decide the proper gait operation. However, the timing for the recognization plays a crucial role...