Physiotherapeutic Aid using ML and AI
نویسندگان
چکیده
In the recent year 2020 due to corona many people were not able have appointments with their doctors and they locked in house. The younger generation can possibly maintain health even if do go outside for days, but older regular exercise well-being; prescribed by doctors. It is just because of that we experienced this also come a situation where cannot visit So, as solution these problems/challenges, came up an idea so without visiting or physiotherapist. Artificial Intelligence technically defined development technology which used perform operations require involvement human intelligence. Machine learning one key components artificial intelligence it provides us ability both supervised unsupervised training our model. AI today be different forms such software programs well hardware interfaces develop system capable from own datasets. project machine posture detection then assessment patients. We provided physiotherapy using ML. normal running feed got good frame rates. These generations live front camera, will detect pose/position whether are doing exercises correctly not. By comparing poses obtained images videos dataset. If pose matched dataset, terminated denied deemed wrong exercise. Our going tell them went wrong. Now decide perfect algorithm/method detect/estimate much higher accuracy. compare all algorithms present till date regarding estimation select give best
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ژورنال
عنوان ژورنال: International journal of scientific research in computer science, engineering and information technology
سال: 2023
ISSN: ['2456-3307']
DOI: https://doi.org/10.32628/cseit2390399