Research on sports science using AI and three-dimensional modeling.
Supports the latest technologies such as Body Sharing! Conducts three-dimensional configurations in situations where it is difficult to set up markers in the outdoor sky, accurately capturing the athletes' movements!
We will conduct data analysis and develop training to win international sports competitions. Using data such as heart rate before the competition starts and image processing technology, we will analyze the differences between good and poor athlete form and utilize this in training. Additionally, we will conduct mental training linked to heart rate and other values to eliminate mistakes during matches! 【Technical Details (Excerpt)】 ■ Perform three-dimensional composition and evaluation using DLT method, epipolar geometry, and PnP problem - Obtain the two-dimensional information necessary for three-dimensional composition using methods such as DeepLabCut and manual techniques ■ Investigate whether variations in the method of obtaining two-dimensional coordinates affect the accuracy of three-dimensional composition - Examine the relationship between the number of cameras used for shooting and their accuracy ■ Conduct research on methods for three-dimensional composition in situations where setting markers is difficult - Investigate the feasibility of using drones We also support sports × IoT technologies, including Body Sharing. *For more details, please download the PDF or feel free to contact us.
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