| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
This project developed a technique for the measurement of human postures and activities using a radar system. First, we developed a technique for analyzing radar echoes in the high-dimensional time-range-angle-velocity domain. Next, we realized a high-resolution imaging by combining a reversible transform and Kirchhoff migration. Finally, we applied a machine learning algorithm to radar data for classifying human activities. The developed system achieved an accuracy of approximately 90% in classifying human activities using radar signals.
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