Computer-aided motion capture of aerobics training based on mathematical similarity matching statistical analysis

Mu, Chengli

doi:10.1007/s13198-023-02115-8

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Likewise, in golf, this technology aids in analyzing a golfer's swing dynamics and exploring the players' body pose in the backswing and downswing phases [225]. Gymnastics is another sport that benefits from passive mocap by accurately capturing intricate routines to help balance and the fluidity of the movements [226].…”

Section: Active and Passive Optical Motion Capture Systemsmentioning

confidence: 99%

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

Edriss,

Romagnoli,

Caprioli

et al. 2024

Applied Sciences

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Physical activity analysis assessment has been a concern throughout human history. The intersection of technological growth with sports has given rise to a burgeoning field known as sports engineering. In the 19th century, the advent of chrono-photography and pioneering marked the inception of sports performance analysis. In recent years, the noticeable developments achieved in wearable low-power electronics with wireless high interconnection capability, as a part of modern technologies, have aided us in studying sports parameters such as motor behavior, biomechanics, equipment design, and materials science, playing an essential role in the understanding of sports dynamics. This study aims to review over 250 published articles since 2018, focusing on utilizing and validating these emergent technologies in sports and clinical aspects. It is predicted that one of the next steps in sports technology and engineering development will be using algorithms based on artificial intelligence to analyze the measurements obtained by multi-sensor systems (sensor fusion) to monitor biometric and physiological parameters in performance analysis and health assessments.

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Section: Active and Passive Optical Motion Capture Systemsmentioning

confidence: 99%