Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement

• Published in: AI EDAM Vol. 39
• Main Authors: Cheng, Chih-Feng, Lin, Chiuhsiang Joe, Hu, Qin-Xuan
• Format: Journal Article
• Language: English
• Published: New York, USA Cambridge University Press 27.01.2025
• Subjects: Artificial intelligence; Automation; Classification; Collaboration; Human activity recognition; Human motion; Inertial platforms; Integrated circuits; Kinematics; Logistics; Machine learning; Manufacturing; Motion perception; Research Article; Robot dynamics; operations efficiency improvement; motion and time study; machine learning; inertial sensor; human activity recognition

Human activity recognition (HAR) is a vital component of human–robot collaboration. Recognizing the operational elements involved in an operator’s task is essential for realizing this vision, and HAR plays a key role in achieving this. However, recognizing human activity in an industrial setting dif...