A HRNet-based Rehabilitation Monitoring System. (arXiv:2306.10756v2 [cs.CV] UPDATED)


A HRNet-based Rehabilitation Monitoring System. (arXiv:2306.10756v2 [cs.CV] UPDATED)
By: <a href="http://arxiv.org/find/cs/1/au:+Hung_Y/0/1/0/all/0/1">Yi-Ching Hung</a>, <a href="http://arxiv.org/find/cs/1/au:+Jiang_Y/0/1/0/all/0/1">Yu-Qing Jiang</a>, <a href="http://arxiv.org/find/cs/1/au:+Liou_F/0/1/0/all/0/1">Fong-Syuan Liou</a>, <a href="http://arxiv.org/find/cs/1/au:+Tsao_Y/0/1/0/all/0/1">Yu-Hsuan Tsao</a>, <a href="http://arxiv.org/find/cs/1/au:+Chiang_Z/0/1/0/all/0/1">Zi-Cing Chiang</a>, <a href="http://arxiv.org/find/cs/1/au:+Sun_M/0/1/0/all/0/1">MIn-Te Sun</a> Posted: June 23, 2023

The rehabilitation treatment helps to heal minor sports and occupational
injuries. In a traditional rehabilitation process, a therapist will assign
certain actions to a patient to perform in between hospital visits, and it will
rely on the patient to remember actions correctly and the schedule to perform
them. Unfortunately, many patients forget to perform actions or fail to recall
actions in detail. As a consequence, the rehabilitation treatment is hampered
or, in the worst case, the patient may suffer from additional injury caused by
performing incorrect actions. To resolve these issues, we propose a HRNet-based
rehabilitation monitoring system, which can remind a patient when to perform
the actions and display the actions for the patient to follow via the patient’s
smartphone. In addition, it helps the therapist to monitor the progress of the
rehabilitation for the patient. Our system consists of an iOS app and several
components at the server side. The app is in charge of displaying and
collecting action videos. The server computes the similarity score between the
therapist’s actions and the patient’s in the videos to keep track of the number
of repetitions of each action. Theses stats will be shown to both of the
patient and therapist. The extensive experiments show that the F1-Score of the
similarity calculation is as high as 0.9 and the soft accuracy of the number of
repetitions is higher than 90%.

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