In the pole vault event, the velocity of approach is a highly vital factor. As velocity of approach improvements highly impact performance improvements. This study analysed the relationships between sprint running's speed (SR), pole running (PR, without jump), and the pole vault approach (PVA, with real jump). Analysed too were the relationships between both the approach and performance's respective running distance, velocity, and velocity utilization rates. Methods: Ten male pole vaulters were recruited. Measured was each 5-meter segment's average velocity of his respective SR, PR, and PVA, along with the distance to maximum velocity. Results: The maximum average velocity of the PR's 5m segments altogether was significantly positively correlated with pole vault (PV) performance; The maximum average velocity of the PR's 5m segments altogether was significantly positively correlated with the last 5m PVA average velocity; The PVA velocity's utilization rate was significantly negatively correlated with the difference between the distance to the PR's maximum velocity and the PVA's distance. Conclusion: The PR segment's maximum speed capability can evaluate both a pole vaulter's potential and pole vault-specific abilities. This study's recruited pole vaulters' respective approach distances were generally insufficient that resulted in a lower velocity utilization rate. Suggested is that in training, the pole vaulter could first find the distance required to reach the highest velocity upon starting from the PR test. Thus, this subsequently known distance could be applied in tandem with the pole vault's approach to both improve the PVA's utilization rate and reach the individual highest speed level.
In this paper, we proposed a novel efficient barbell trajectory extraction algorithm and further implemented a computer aided weightlifting training system with our proposed algorithm. The proposed method extracts the barbell trajectory from the video sequence both considering spatial and temporal information which are the barbell color and motion information between each frame. The experimental results show that the proposed algorithm can gather the barbell trajectory in high accuracy and efficiency. The implemented computer aided weightlifting training system saves about 95% operation time comparing to traditional kinematic analysis software. It makes athletes, coaches and researchers evaluate the sport performance more easily.
In this paper, an IoT architecture for public fitness equipment, internet of public fitness equipment, with software and hardware is proposed and implemented. We utilize reed switch and MCU with WiFi module to implement IoT hardware on public fitness equipment. Furthermore, we also implement web service, database and user interface which provide thorough individual exercise prescription and monitor service. From the experimental results, all the participants' physical fitness does improve significantly. It shows that our internet of public fitness equipment can significantly improve body health by providing an efficient exercise way.
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