Pose Detection with Corrective Feedback to Aid Physiotherapy for Parkinson's Disease

被引:0
|
作者
Bhargavan, Aryansh [1 ]
Bhat, Avanish [1 ]
Gupta, Avni [1 ]
Mehta, Krishna Nikhil [1 ]
Kanwal, Preet [1 ]
机构
[1] PES Univ, Dept Comp Sci & Engn, Bengaluru, India
关键词
Parkinson's disease; physiotherapy; application; machine learning; corrective feedback; exercises;
D O I
10.1109/ICICI62254.2024.00042
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Parkinson's disease is a degenerative neurological condition affecting the nervous system and the body's nerve-controlled regions. Studies have shown that consistent physiotherapy can reduce the effects for early-stage patients. The problem- patients do not have access to physiotherapists at all time convenient to them, and the lack of access to a physiotherapist could mean the patient performs exercises by themselves incorrectly or not perform them at all, which could possibly worsen the patient's condition. Related work focuses on exercise correction, but no emphasis on Parkinson's Disease as a niche. This research study proposes a novel solution to this, by offering an application that aids in performing exercises tailor-made for Parkinson's patients, detecting anomaly in exercise performance, and providing corrective feedback in the form of text, and audio, using machine learning.
引用
收藏
页码:198 / 205
页数:8
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