Sports Training Aid Using Image Processing
| Project/Area Number |
11680209
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | TOKYO INSTITUTE OF TECHNOLOGY |
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Principal Investigator |
NISHIHARA Akinori Tokyo Institute of Technology, Professor, 教育工学開発センター, 教授 (90114884)
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| Co-Investigator(Kenkyū-buntansha) |
SUDA Kazuhiro Tokyo Institute of Technology, Associate Professor, 大学院・社会理工学研究科, 助教授 (70192135)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2000: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 1999: ¥2,000,000 (Direct Cost: ¥2,000,000)
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| Keywords | Image Processing / Sports Training / Detection of Player's Position / Badminton / Trace / DSP |
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| Research Abstract |
Two systems to detect the position of player in a badminton or tennis court are developed and player movement is analyzed.
The first system can detect player position in real time using an interface using a DSP.Position information is transferred to a personal computer. First an image taken by a camera which is set above the court is subtracted by an image of the court without any players. The player position is detected using a suitable filter. At first indoor games such as badminton is the main target, but the system is upgraded by introducing a background updating algorithm so that it can be used for outdoor games like tennis where the court brightness varies depending on the weather. A noise reduction filter and an algorithm to discard flames which seem to be erroneous are also introduced. The system can process 7 to 8 flames/sec of 128×128 pixel images. Training can be improved by feedback of position and movement information of the player.
The second system handles higher resolutio
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n of 360×240 at the expense of real-time property, and all the processing is performed by software on a PC.In this case each pixel in the difference image is quantized to binary number and labeled so as to remove noise component. Square area around the center of gravity of the player image is taken as an initial template, which is updated in the following flames by the template matching.
Using these systems traces of beginners and experts in badminton singles and doubles. It is charified that, in the singles experts move faster in forward-backward direction and no significant difference in left-right movement, while in the doubles experts move faster in left-right direction and no significant difference in forward-backward movement. Average position also differs between beginners and experts. These results suggest the important points for beginners to practice.
Blood lactate is shown to have strong influence on total distance and mean velocity, which suggests the possibility that the trace analysis can estimate the blood lactate. Less
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Report
(3 results)
Research Products
(3 results)
