Multimodal Sensor Fusion for Low-Power Wearable Human Motion Tracking Systems in Sports Applications

• Published in: IEEE sensors journal Vol. 21; no. 4; pp. 5195 - 5212
• Main Authors: Wilk, Mariusz P., Walsh, Michael, O'Flynn, Brendan
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3-D; Algorithms; Cameras; Human motion; Inertial motion sensor; Inertial sensing devices; Injuries; inside-out tracking; monocular camera; Motion sensors; multimodal; Multimodal sensors; Physical training; pose detection; Prototypes; Root-mean-square errors; Sensor fusion; Sensors; Sports; Tracking; Tracking systems; Vertical motion; Vision sensors; Wearable technology

This paper presents a prototype human motion tracking system for wearable sports applications. It can be particularly applicable for tracking human motion during executing certain strength training exercises, such as the barbell squat, where an inappropriate technique could result in an injury. The...