| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
Prevention of falls by the elderly in nursing homes and medical institutions is one of the important issues. To prevent an accident, this research aimed to implement the rise prediction function in the sensor panel developed so far and the body movement detection system using it. The result of this research is the construction of a practical care support system and the realization of the judgment of the bed posture and the rise prediction from the physical movement situation of the lying person through the experiment in the elderly care settings. A watching device can collect highly accurate data by using a sensor panel.
In addition, we have developed a program that can use machine learning to extract posture and rise preparatory movements from bedtime movement data.
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