Resumen
A novel method, to our knowledge, for monitoring weightlifting exercises based on infrared imaging is proposed in this work. For the infrared workout weightlifting recorded scenes, radiometry and artificial intelligence were employed for in-scene temperature and biomechanical athletes’ body parts position mapping. Our method was effective in monitoring muscle exertion during high-performance athletic exercises, as evidenced by the results obtained from real athletic datasets. The method generates a color-labeled sequence of thermal images and reports on body part positions, which can be used by judges and trainers to guide athletes toward safer and more efficient practices.
Título traducido de la contribución | Técnica de imágenes infrarrojas para la evaluación del ejercicio de levantamiento de pesas |
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Idioma original | Inglés |
Páginas (desde-hasta) | 7529-7539 |
Número de páginas | 11 |
Publicación | Applied Optics |
Volumen | 63 |
N.º | 28 |
DOI | |
Estado | Publicada - 2024 |
Nota bibliográfica
Publisher Copyright:© 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
Áreas temáticas de ASJC Scopus
- Óptica y física atómica y molecular
- Ingeniería (miscelánea)
- Ingeniería eléctrica y electrónica