dc.contributor.author |
Rubasinghe, Chathumi |
|
dc.date.accessioned |
2025-06-05T11:14:06Z |
|
dc.date.available |
2025-06-05T11:14:06Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Rubasinghe, Chathumi (2024) Yoga Pose Estimation and Correction System. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
20200562 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/2441 |
|
dc.description.abstract |
Yoga is a traditional Indian activity that combines physical and mental practices with the goal of mind-body connection. Yoga is well known for its beneficial effects, which include enhancing mental and physical well-being and encouraging natural healing. Proper execution of yoga poses is essential; if improper postures are sustained over time, they can have negative consequences such as severe injuries and long-term joint discomfort. There are disadvantages to the traditional wearable sensor-based posture assurance systems, such as high prices and discomfort during physical activity. Our proposal aims to close this gap by utilizing sophisticated pose prediction technologies to create a revolutionary yoga assistant application that facilitates proper yoga postures. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Yoga pose estimation |
en_US |
dc.subject |
Key points detection |
en_US |
dc.subject |
Deep Learning |
en_US |
dc.title |
Yoga Pose Estimation and Correction System |
en_US |
dc.type |
Thesis |
en_US |