Abstract
Monitoring information on the behavior of dementia patients could improve their health and safety, and thus quality of life. To monitor daily activities, dementia patients require portable and wearable monitoring device. Various sensor technologies are currently used to monitor emergency situations such as falling down and wandering activities as a result of memory and cognitive impairment. Therefore, in this research paper, a watch-type device (Smart Watch), server system, and step detection algorithm utilizing a 3-axis acceleration sensor are developed. The suggested step detection algorithm showed an accuracy of 96% in verifying normal steps.
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Shin, DM., Shin, D., Shin, D. (2013). Smart Watch and Monitoring System for Dementia Patients. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_62
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DOI: https://doi.org/10.1007/978-3-642-38027-3_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38026-6
Online ISBN: 978-3-642-38027-3
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