Recognizing Full-Body Exercise Execution Errors Using the Teslasuit.

ABSTRACT: 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. Furthermore, they often detect only specific errors or provide feedback first after the execution. This lack raises the necessity for the automated detection of full-body execution errors in real-time to assist users in correcting motor skills. To address this challenge, we propose a method for movement assessment using a full-body haptic motion capture suit. We train probabilistic movement models using the data of 10 inertial sensors to detect exercise execution errors. Additionally, we provide haptic fe

SUBMITTER: Caserman P 

PROVIDER: S-EPMC8703589 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature