The device helps yoga practitioners to identify errors and correct the Yoga Asanas they are performing without any coach or guide. The team of students who were involved in the project includes Deepti Singh, Deepak Pandey, Hima VS and Bhaskar Katragadda.
A group of computer science students from MVJ College of Engineering has come up with a yoga pose tracking method. The device helps yoga practitioners to identify errors and correct the Yoga Asanas they are performing without any coach or guide. The team of students who were involved in the project includes Deepti Singh, Deepak Pandey, Hima VS and Bhaskar Katragadda.
The idea for such a device or software first came to Deepti Singh when she was practicing yoga by herself at home and was in doubt about whether she was moving right. “The major concern here is that performing complex Yogasanas without the supervision of a trainer could cause serious injuries, especially to the spine and the neck,” she said. “When we were asked to submit our topics for the college final year project, I discussed this idea with my team. It was liked by all and we started planning on the design,” she adds.
The device has been named as the 'Yoga Pose Assessment System for Self-Learning'. “Existing solutions include an AI-enabled yoga mat which evaluates the accuracy of a user's stance, and a software-based solution which takes a static image of a practitioner for the assessment of their yoga pose,” explains team member Deepak Pandey.
“We realised that an efficient, cost-effective and fully software-based solution for this problem did not exist. Hence, we started developing such a software that uses state-of-the-art technology like deep learning,” he adds.
The yoga assessment system developed by the team of students from MVJ College of Engineering, Computer and Engineering Department, uses the system uses the webcam of the user's PC to capture the video of them performing a particular yogasana.
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