Advancing Dance Talent Training: Integrating Digital Health Monitoring Technology for Biotechnology-Inspired Performance Optimization

Abstract

This study explores the application of digital health monitoring technology in dance talent training, integrating biotechnology-inspired approaches to optimize performance and well-being. By leveraging multidimensional health concepts, the research specializes dance movements for improved precision and safety. Digital healthification is utilized to analyze the role of health monitoring in dance teaching, effectively merging technology with pedagogical practices to promote "healthy performance dance. "Health testing technology is employed to assess and correct the professionalism and accuracy of movements and angles during dance training. The training model incorporates physical and mental health as core teaching objectives, aligning with the ecological framework for dance talent development. The study develops an ecological dance talent training model that balances functional performance and holistic health. Results indicate that the ecological teaching approach significantly enhances learning outcomes, with the percentage of learning effect increasing from 40%–50% to 75%–80%. The content of ecological dance teaching is more comprehensive, with 60% focusing on classical dance, 20% on understanding classical music and literature, and an improved emphasis on classical musical instruments. This research highlights the transformative role of digital health monitoring in dance education, providing a scalable model for integrating health technology into artistic training. The findings underscore the potential of biotechnology-driven innovations in advancing holistic talent development and optimizing educational outcomes in the performing arts.