Abstract:

Abstract The aging population, the elderly living alone, and the increase in lonely deaths are global social problems. The rising aging population due to an increase in life expectancy and decrease in fertility rates is emerging as an issue except for some developing countries with high fertility rates. According to the results of the 2015 Population and Housing Census, the elderly population aged 65 or older in 2015 was 13.2% of the total population, which is just before the aging society, and 19.8% in 2025, which is expected to be close to the super-aged society. One of the problems of an aging society is the lack of caregivers in homes for the aged because the shortage imposes increasing workloads on caregivers and leads to the deterioration of the quality of care for the elderly. Furthermore, preventive care policies are needed for healthy elderly people, who are potential care consumers who account for more than 80% of the total elderly population, before their health deteriorates in the future due to the absence of services. To solve these problems, we conducted a new type of elderly-friendly study that monitors sleep, movement, and the heart rate of the elderly using contactless radar sensors, and overcomes the limitations of existing face-to-face welfare services as a smart healthcare device that can respond quickly with related institutions in an emergency. As a result, recognition accuracy of 97.65% and an F1-Score of 92.59% were shown. If this is applied to the health and welfare service area, which has traditionally developed around face-to-face services, by combining the Internet of Things (IoT) and radar technology, personalized AI care services can be innovated through sleep and lifestyle analysis for the elderly.

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