Abstract
Elder and senior people living alone have become more and more commonplace, nowadays, with the development of our society. Falls can cause serious injury, especially to the elderly who live alone. The psychological burden, after the fall, and other environmental factors can result in serious harm when the elderly cannot get timely help. The main purpose of the fall detection system is to detect the fall of the elderly in a quicker time. A fall detection system for the elderly, based on three-dimensional acceleration was proposed in the paper. The system was based on three-dimensional acceleration transducer MMA 7260QT and microprocessor MSP430F149. Through experimental verification we found that the proposed system has better performance, higher accuracy and a lower error rate.
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Acknowledgments
This paper work is supported by 2017 Natural Science Foundation of Hubei (No. 2017CFB560, Research and Application of Energy Expenditure Self-monitoring Method of Old People) and This paper work is supported by 2015 58th Chinese Postdoctoral Science Foundation (No. 2015M580655, Research and Application of College Students’ Sports Energy Expenditure Model).
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Luo, Q. (2018). Research of a Falling Detection System for the Elderly Based on Three-Dimensional Acceleration. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_73
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DOI: https://doi.org/10.1007/978-3-319-73888-8_73
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