Yoga Posture Recognition Using Image Processing
Jibrael Jos, G Angitha, Sanjana Sengar, Jibrael Jos · 2024
Yoga is an ancient Indian practice that focuses on maintaining balance through various techniques like asanas and meditation. Traditional Indian yoga involves physical postures, regulated breathing, meditation, and relaxation techniques. The practice, rooted in physical, mental, and spiritual disciplines, offers numerous benefits. In this paper, we present an approach for classifying four prominent yoga poses: Goddess Pose (Utkata Konasana), Tree Pose(Vrksasana), Dead Body Pose (Savasana), and Downward Dog Pose (Adho Mukha Svanasana) using image processing techniques. The proposed methodology leverages sophisticated feature extraction techniques that analyse the posture’s shape to help capture the details of the posture like the centroid, eccentricity, convex hull, etc. The subsequent classification process employs Support Vector Machines (SVM) enabling accurate categorization based on the extracted features. This blend of traditional wisdom and modern technology offers a promising tool for automating posture recognition, benefiting yoga practitioners and instructors, and can be extended to other real-life scenarios like odd posture detection.