AI IN DANCE THERAPY FOR EDUCATION AND WELLBEING
DOI:
https://doi.org/10.29121/shodhkosh.v6.i4s.2025.6830Keywords:
Dance/Movement Therapy (DMT), Artificial Intelligence, Computer Vision, Emotion Recognition, Educational Wellbeing, Personalized Therapeutic SystemsAbstract [English]
Dance therapy or dance/movement therapy (DMT) is not a new concept and has been traditionally acknowledged to have the ability to improve emotional, cognitive, and physical wellbeing. The last few years have seen the intersection of artificial intelligence (AI) and movement-based therapies, which has paved the way to the data-driven personalization of learning and therapy and has scaled up both educational and therapeutic interventions. In this paper, the author discusses the use of AI in education and wellbeing in dance therapy with its potential to analyze, interpret, and transform human movement in order to achieve therapeutic results. One framework that is formulated with the help of AI technologies, including computer vision, pose estimation, emotion recognition, predictive analytics, etc., will be used to assess the effects of AI-assisted DMT on the engagement of learners, decrease in stress levels, and creative expression. Multi-modal inputs, including video analysis, motion sensors, and surveys on participants are used in data collection to determine emotional and behavioral patterns. Machine learning models are also used to suggest custom dance moves depending on cognitive and affective conditions. The paper also shows how dance therapy based on AI can be integrated into the classroom setting to enhance inclusiveness, emotion management, and collaborative learning. Findings show that mood, attention, and participation in the classroom have significantly improved especially among students with special needs.
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Copyright (c) 2025 Shikha Gupta, Sachin Pratap Singh, Anubhav Bhalla, Manivannan Karunakaran, Dr. Shripada Dinesh Patil, Dr. Shweta, Pranali Chavan
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