Survey on Video-Based Biomechanics and Biometry Tools for Fracture and Injury Assessment in Sports

Applied Sciences

Gerardo Presbítero-Espinosa¹  Vanessa E. Ortiz-Padilla¹  Mauricio A. Ramírez-Moreno¹  Jorge de J. Lozoya-Santos¹  Ricardo A. Ramírez-Mendoza¹ 

[1] Mechatronics Department, School of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64849, Mexico;

关键词: biomechanics;    biometry;    video analysis;    force estimation;    digital tracking;   

DOI  :  10.3390/app12083981

来源: DOAJ

【 摘 要 】

This work presents a survey literature review on biomechanics, specifically aimed at the study of existent biomechanical tools through video analysis, in order to identify opportunities for researchers in the field, and discuss future proposals and perspectives. Scientific literature (journal papers and conference proceedings) in the field of video-based biomechanics published after 2010 were selected and discussed. The most common application of the study of biomechanics using this technique is sports, where the most reported applications are american football, soccer, basketball, baseball, jumping, among others. These techniques have also been studied in a less proportion, in ergonomy, and injury prevention. From the revised literature, it is clear that biomechanics studies mainly focus on the analysis of angles, speed or acceleration, however, not many studies explore the dynamical forces in the joints. The development of video-based biomechanic tools for force analysis could provide methods for assessment and prediction of biomechanical force associated risks such as injuries and fractures. Therefore, it is convenient to start exploring this field. A few case studies are reported, where force estimation is performed via manual tracking in different scenarios. This demonstration is carried out using conventional manual tracking, however, the inclusion of similar methods in an automated manner could help in the development of intelligent healthcare, force prediction tools for athletes and/or elderly population. Future trends and challenges in this field are also discussed, where data availability and artificial intelligence models will be key to proposing new and more reliable methods for biomechanical analysis.

【 授权许可】

Unknown