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2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) - Home-Based Physical Therapy with an Interactive Computer Vision System by Gu, Yiwen; Pandit, Shreya; Saraee, Elham; Nordahl, Timothy; Ellis, Terry; Betke, Margrit is a scholarly article available to read on EtoBox.

In this paper, we present ExerciseCheck. ExerciseCheck is an interactive computer vision system that is sufficiently modular to work with different sources of human pose estimates, i.e., estimates from deep or traditional models that interpret RGB or RGB-D camera input. In a pilot study, we first compare the pose estimates produced by four deep models based on RGB input with those of the MS Kinect based on RGB-D data. The results indicate a performance gap that required us to choose the MS Kinect when we tested ExerciseCheck with Parkinson's disease patients in their homes. ExerciseCheck is capable of customizing exercises, capturing exercise information, evaluating patient performance, providing therapeutic feedback to the patient and the therapist, checking the progress of the user over the course of the physical therapy, and supporting the patient throughout this period. We conclude that ExerciseCheck is a user-friendly computer vision application that can assist patients by providing motivation and guidance to ensure correct execution of the required exercises. Our results also suggest that while there has been considerable progress in the field of pose estimation using deep le

Author

Gu, Yiwen; Pandit, Shreya; Saraee, Elham; Nordahl, Timothy; Ellis, Terry; Betke, Margrit

Publisher

IEEE

Published

2019

Language

EN