Video-Surveillance System for Fall Detection in the Elderly

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Abstract

Recently, the number of households comprising only elderly people(60 years old or older) has increased because of the falling birth rate and the aging population. According to a recent Japanese Statistics Bureau report, the total population was estimated to be 126.59 million among which 35.22 million people were elderly. Furthermore, the Ministry of Health, Labor, and Welfare predicted a shortage of approximately 380,000 nursing care staff in Japan by 2025 [1], which is the year in which the baby-boomer generation is expected to become more than 75 years old. As the number of users of nursing care services increases, 2.53 million nursing staff will become necessary by 2025; however, it is expected that only 2.15 million staff will be present based on the current rate of increase. According to the official release of the sufficiency rate associated with the number of nursing care staff actually required to serve the number of people who requires them, which increase with the aging population, there will be a shortage of care workers of approximately 200,000 in 2020 and of approximately 380,000 in 2025. Therefore, we have developed a video-surveillance system capable of detecting an elderly person falling in the absence of care workers.

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APA

Yano, K., Manabe, Y., Hirano, M., Ishii, K., Deguchi, M., Yoshikawa, T., … Yamasaki, K. (2019). Video-Surveillance System for Fall Detection in the Elderly. In Communications in Computer and Information Science (Vol. 1033, pp. 328–333). Springer Verlag. https://doi.org/10.1007/978-3-030-23528-4_45

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