Abstract
Monitoring of elderly people has drawn attention of healthcare and medical professionals. Various health problems have been attributed to either fall or lack of sleep in the context of elderly people. Falling and sleep problems on a long term basis could eventually lead to sharp deteriorate in health, poor state of health and high cost for covering their health care. In this paper a new accurate and convenient while cost-efficient implementation of a monitoring system is presented. The use of an accelerometer based system was utilized in this work. The targeted device fit for this implementation is a smart watch. The algorithm of both the fall detector and sleep monitor presented in this work have been implemented and tested on multiple subjects. It also includes a database backend which is used to save the information collected from the system for further analysis and can provide healthcare professional with more insight of the person’s life and can help more on further health medication being given to the person.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Odunmbaku, A., Rahmani, AM., Liljeberg, P., Tenhunen, H. (2016). Elderly Monitoring System with Sleep and Fall Detector. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_51
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DOI: https://doi.org/10.1007/978-3-319-47063-4_51
Publisher Name: Springer, Cham
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