| Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2020: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2019: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
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| Outline of Final Research Achievements |
We developed a system that complements the "care knowledge," which quickly notices the physical and mental condition of a care recipient and responds to them appropriately, of care staff in care homes. The developed sensor network to grasp the behavior of the care recipient was enabled to detect call actions to care staff with a high accuracy rate (F value: 89.6%). We also developed a learned model that can discriminate the sign of begin-to-talk actions based on coordinate data of characteristics points of the person (the precision ratio: 81%). The method will be useful to estimate the physical and mental condition of care recipients. Finally, we implemented a robot that can nod at an appropriate time in a conversation (accuracy rate: 98%). The robot is expected to become to appropriately intervene with the conversation among care recipients and caregivers.
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