Recognizing Full-Body Exercise Execution Errors Using the Teslasuit

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 24; p. 8389
• Main Authors: Caserman, Polona, Krug, Clemens, Göbel, Stefan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.12.2021; MDPI
• Subjects: Accelerometers; COVID-19; Exercise; Feedback; full-body motion capture; haptic feedback; Haptics; human exercise assessment; Humans; imitation learning; inertial measurement units; Machine learning; Motion; Motion capture; Motor Skills; Movement; Physical fitness; Rehabilitation; Sensors; Training; transcutaneous electrical nerve stimulation; haptic feedback; imitation learning; human exercise assessment; transcutaneous electrical nerve stimulation; full-body motion capture; inertial measurement units

Regular physical exercise is essential for overall health; however, it is also crucial to mitigate the probability of injuries due to incorrect exercise executions. Existing health or fitness applications often neglect accurate full-body motion recognition and focus on a single body part. Furthermor...