SportsCap: Monocular 3D Human Motion Capture and Fine-Grained Understanding in Challenging Sports Videos

Introduction: Exercise is the most effective way to improve physical fitness. One can achieve the effect of wellness and fitness through scientific exercise. Running is a relatively common method of physical exercise. It plays a significant role in improving physical fitness. Objective: This study aimed to investigate the characteristics of lower extremity movements during running. The results of this study may provide better exercise planning for runners. Methods: This paper selects several runners as the research subject. The subjects started running after attaching a motion detector sensor patch to their body. Then, this paper collected kinematic data. The kinematic data includes the joint angles and range of motion (ROM) of the hip, knee, and ankle joints. Results: There was no significant difference in the distribution of peak tibial acceleration, plantar pressure, and maximum pressure of athletes under different track materials (P>0.05). There was a significant age difference between the hip and knee joints of the athletes in the overhead stage (P<0.05). Conclusion: There may not be a necessary connection between ground and lower limb impact in running athletes. Through its adjustment, the human body can dampen the load effect of the foot contact surface. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

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“…All subjects had no previous running barefoot or wearing barefoot shoes. 2 They are accustomed to running with their hind feet on the ground.…”

Section: Methods Research Objectsmentioning

confidence: 99%

Sport Kinesiology Based on the Concept of Health and Fitness

Zhong¹,

Wang

2023

Rev Bras Med Esporte

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“…In sports videos object-level analysis is often more challenging than that in ordinary videos due to motion blurs, large subject displacements and complex sports poses (e.g., high diving). Prior studies addressing these challenges include adopting sports motion priors [7], collecting sports motion datasets [40], and capturing human motions with multi-modal references [18]. Eventlevel analysis mainly includes recognition tasks from video streams, such as action recognition [40], action quality assessment [27], and key frame detection [54].…”

Section: Related Workmentioning

confidence: 99%

VCoach: A Customizable Visualization and Analysis System for Video-based Running Coaching

Liu¹,

Saquib²,

Chen³

et al. 2022

Preprint

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“…Thus, we have reviewed works that delve into existing methods: skeleton based models, contour-based models, etc. As discussed in [61][62][63], 3D computer vision methodologies can be used for the estimation of the pose of an athlete in 3D, where the coordinates of the three axes (x, y, z) are necessary, and this requires the use of depth-type cameras, capable of estimating the depth of the image and video received.…”

Section: Related Workmentioning

confidence: 99%

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Echeverria

Santos

2021

Sensors

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Technological advances enable the design of systems that interact more closely with humans in a multitude of previously unsuspected fields. Martial arts are not outside the application of these techniques. From the point of view of the modeling of human movement in relation to the learning of complex motor skills, martial arts are of interest because they are articulated around a system of movements that are predefined, or at least, bounded, and governed by the laws of Physics. Their execution must be learned after continuous practice over time. Literature suggests that artificial intelligence algorithms, such as those used for computer vision, can model the movements performed. Thus, they can be compared with a good execution as well as analyze their temporal evolution during learning. We are exploring the application of this approach to model psychomotor performance in Karate combats (called kumites), which are characterized by the explosiveness of their movements. In addition, modeling psychomotor performance in a kumite requires the modeling of the joint interaction of two participants, while most current research efforts in human movement computing focus on the modeling of movements performed individually. Thus, in this work, we explore how to apply a pose estimation algorithm to extract the features of some predefined movements of Ippon Kihon kumite (a one-step conventional assault) and compare classification metrics with four data mining algorithms, obtaining high values with them.

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SportsCap: Monocular 3D Human Motion Capture and Fine-Grained Understanding in Challenging Sports Videos

Cited by 40 publications

References 67 publications

Sport Kinesiology Based on the Concept of Health and Fitness

Sport Kinesiology Based on the Concept of Health and Fitness

VCoach: A Customizable Visualization and Analysis System for Video-based Running Coaching

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

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