A study of physical condition inference methods with action recognition sensors
| Project/Area Number |
22650019
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Media informatics/Database
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| Research Institution | Kumamoto University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KITASUKA Teruaki 熊本大学, 大学院・自然科学研究科, 准教授 (70343332)
ITOKAWA Tsuyoshi 熊本県立技術短期大学校, 情報映像技術科, 講師 (60336203)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥330,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | モバイルシステム / 疲労推定 / 加速度センサ / 特徴量 / 行動認識 |
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| Research Abstract |
We measured acceleration of gaits and clarified features that tend to represent fatigue of subjects. We did experiments in which subjects run ergometer exercises and their acceleration of gaits was measured with accelerometers, and investigated the data obtained. We confirmed that such features as gait cycle and peak acceleration of heel contact tend to represent fatigue. We also developed a method to recognize switching points of activities efficiently.
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Report
(3 results)
Research Products
(4 results)
