Abstract
In recent years, the health and safety problems of the elderly increase continuously, coupled with the age of information technology, the elderly are difficult to adapt to the society, so the use of modern Internet technology to protect the health and personal safety of the elderly, has become a top priority. Therefore, this paper, based on the Internet of Things technology, mainly monitors the elderly’s indoor behavior, supplemented by the monitoring of physiological indicators, outdoor behavioral trajectories and falls, proposes the Internet of Things health pension scheme design based on the physiological and behavioral indicators of the elderly. This scheme involved the minimum confidence interval solution strategy, according to the old people in different parts of the activity rate for the elderly indoor dwell time detection, and combined with travel anomaly detection algorithm, pulse wave signal analysis algorithm, fall detection algorithm and other algorithms, real-time monitoring of physiological indexes of elders trajectory data and behavior, the guardian and the hospital can check at any time, once the old man has an accident. The system will send abnormal information to the monitoring system of WeChat mini program guardian and community hospital in time, and the corresponding personnel will immediately take treatment measures to ensure the health and safety of the elderly. This system combines the health and safety problems of the elderly to consider the possible accidents, from monitoring, prevention and treatment, the elderly, children and the hospital are closely linked together, to ensure the health and safety of the elderly to provide a comprehensive solution.
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Yuan, Q. et al. (2022). Design of IoT Health Pension Scheme Based on Physiological and Behavioral Indicators for Elderly. In: Katangur, A., Zhang, LJ. (eds) Services Computing – SCC 2021. SCC 2021. Lecture Notes in Computer Science(), vol 12995. Springer, Cham. https://doi.org/10.1007/978-3-030-96566-2_5
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DOI: https://doi.org/10.1007/978-3-030-96566-2_5
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