Human Posture Transition-Time Detection Based upon Inertial Measurement Unit and Long Short-Term Memory Neural Networks

• Published in: Biomimetics (Basel, Switzerland) Vol. 8; no. 6; p. 471
• Main Authors: Kuo, Chun-Ting, Lin, Jun-Ji, Jen, Kuo-Kuang, Hsu, Wei-Li, Wang, Fu-Cheng, Tsao, Tsu-Chin, Yen, Jia-Yush
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Deep learning; Discriminant analysis; Electromyography; Exoskeleton; Feedback; feedforward neural network (FNN); Gait; human posture change detection; inertial measurement unit (IMU); internal sensing; Long short-term memory; long short-term memory (LSTM); Machine learning; Measurement; Neural networks; Performance evaluation; Posture; Robots; Sampling; Sensors; Statistical methods; Taiwan

As human–robot interaction becomes more prevalent in industrial and clinical settings, detecting changes in human posture has become increasingly crucial. While recognizing human actions has been extensively studied, the transition between different postures or movements has been largely overlooked....