Marma Point Detection and Personalized Ayurvedic Diagnosis Using Computer Vision

In Laxmidhar Behera, Anirban Bandyopadhyay & Ganpati Ramanath, Indian Knowledge System and Wellbeing: Proceedings of MBCC 2025, Volume 1. Cham: Springer Nature Switzerland. pp. 228-240 (2026)
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Abstract

Mental health is a global concern, with many individuals suffering from dysfunction due to depression, anxiety, common mental disorders, daily stressors, alcohol and substance use issues, and psychoses. Marma therapy addresses both psychological and physical challenges using contemporary methods. This traditional Indian Ayurvedic practice involves treating specific areas of the body. Marma therapy effectively reduces stress, anxiety, sadness, fears, and phobias, as supported by numerous studies. We gather images of users and analyse them based on various characteristics, including body type (Vata, Pitta, Kapha), height, current symptoms, structure, and medical history. This study outlines a comprehensive methodology for providing personalised recommendations for marma points to individuals. This solution could significantly impact Ayurveda and mental health.

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