Abstract
In this study, we presented the trends of IoT (Internet of Things) used to prevent, predict and detect falls in advance and the measures that could help spur application of IoT-based fall prevention technologies. The application of technology for fall prediction and detection can be divided at large into the image data analysis method and sensor data analysis method which focuses on data from sensors detecting physical activities. The applications of sensors include acceleration sensors, air pressure sensors, vibration sensors, gyroscopes, audio sensors, etc. The IoT expected to be further expanded in conjunction with big data analysis and home care service in the period ahead. For that, simplification of easy-to-operate device interfaces, linkage with home care services, more secure information collection and management should be ensured through synchronization with various devices and more rigorous security control of collected information.
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Kang, S. (2018). A Study on Programs Applying the Internet of Things (IoT) for Prevention of Falls in the Elderly. In: Kim, K., Kim, H., Baek, N. (eds) IT Convergence and Security 2017. Lecture Notes in Electrical Engineering, vol 450. Springer, Singapore. https://doi.org/10.1007/978-981-10-6454-8_8
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DOI: https://doi.org/10.1007/978-981-10-6454-8_8
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