| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2012: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2011: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
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| Outline of Final Research Achievements |
We utilized camera sensors, depth sensors arranged in a room in order to capture a user's activity. Besides, we introduced wireless motion sensors to extract the user's behavior as precisely as possible. By using these features, we tackled a problem to determine recognition results at the beginning part of recognition process, called early recognition of gesture pattern.
We also researched about an incremental learning methodology to adapt to a user's own behavior. Furthermore, we proposed a design strategy of user- & machine-friendly gesture pattern.
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