MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541113555 A) filed by S Dhinaharan; K Mahesh Kumaar; S Jagadheesan; K Harivel; and R K Yugapathy, Coimbatore, Tamil Nadu, on Nov. 19, 2025, for 'ai powered pose detection and evaluation.'
Inventor(s) include S Dhinaharan; K Mahesh Kumaar; S Jagadheesan; K Harivel; and R K Yugapathy.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "5000 years ago, the Indus- Sarasvati culture in ancient India created the yoga practice. Yoga refers to a profound fusion of the mind and the body. Trough asana, meditation, and other practices, it is utilized to keep the body and mind in balance throughout all of life's ups and downs. Due of risings tress levels, yoga has recently attracted attention on a global scale levels in the contemporary way of life and there are many ways or resources to study yoga. Yoga can be learned on one's own via the Internet, books, recorded clips, personal tutors, yoga centers, and other resource, etc. Because oftheir is busy schedules and the possibility that the aforementioned materials won't always be accessible, many people prefer self- learning. How ever, one might not discover an improper position when selflearning. One's health might suffer from improper posture, which can cause both short-term acute discomfort and long-term chronic problems. In this study, methods based on deep learning are created to identify improper yoga posture .. With this method, the users can select the desired pose for practice yoga pose. The user pose is transmitted to models that are being trained to output any aberrant angles between the user pose and the actual pose. By highlighting the yoga pose's short comings with these outputs, the system can give the user advice on how to improve the pose."
Disclaimer: Curated by HT Syndication.
