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Updated: Sep 9, 2025

Movement Retraining using Real-time Feedback of Performance
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Dominio del Tai Chi impulsado por la IA utilizando un marco de aprendizaje profundo para la evaluación del movimiento

Xun Zhao1

  • 1College of Physical Education, Baicheng Normal University, Baicheng, Jilin, 137000, China. zx63659198@163.com.

Scientific reports
|August 28, 2025
PubMed
Resumen

Este estudio introduce un nuevo sistema de visión por computadora y aprendizaje profundo para el entrenamiento de Tai Chi, mejorando significativamente la adquisición de habilidades y la calidad del movimiento. El enfoque innovador mejora la velocidad y la precisión del aprendizaje para los profesionales de todos los niveles.

Palabras clave:
Visión por computadoraAprendizaje profundoEvaluación de los movimientosComentarios personalizadosEstimación de la posturaEntrenamiento de Tai Chi

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Área de la Ciencia:

  • Ciencias del deporte
  • Visión por computadora
  • Inteligencia artificial

Sus antecedentes:

  • La instrucción tradicional de Tai Chi se enfrenta a desafíos para proporcionar una retroalimentación consistente y personalizada.
  • La evaluación objetiva de los movimientos de Tai Chi es difícil debido a los matices sutiles y la complejidad.

Objetivo del estudio:

  • Desarrollar y validar un nuevo sistema para optimizar el entrenamiento de movimiento de Tai Chi utilizando IA avanzada y visión por computadora.
  • Mejorar la adquisición de habilidades y la calidad del movimiento a través de retroalimentación personalizada impulsada por la tecnología.

Principales métodos:

  • Desarrolló un marco con estimación de posturas de múltiples vistas y extracción de características temporales.
  • Se emplean redes convolucionales de gráficos espacio-temporales con mecanismos de atención para la evaluación del movimiento.
  • Realidad aumentada integrada e interfaces multimodales para la generación de comentarios personalizados en tiempo real.

Principales resultados:

  • Logró una adquisición de habilidades un 42% más rápida y una mejora del 28,5% en la calidad del movimiento en comparación con los métodos tradicionales.
  • Se ha demostrado una precisión del 92,8% en la detección de errores de movimiento.
  • Alta satisfacción de los usuarios en todos los niveles de experiencia.

Conclusiones:

  • El nuevo sistema optimiza efectivamente el entrenamiento de Tai Chi, uniendo la práctica tradicional con la tecnología moderna.
  • Este enfoque ofrece una instrucción escalable y estandarizada mientras se preserva la esencia cultural del Tai Chi.
  • La visión por computadora y el aprendizaje profundo proporcionan una herramienta poderosa para mejorar el aprendizaje de habilidades motoras en disciplinas físicas complejas.