Abstract
Behavior monitoring is an important method for life support of elderly persons. However, current behavior monitoring system is hard to be applied into our lives whether from user side or from supporter side. In this paper, we propose a sensor-based input system that can detect daily activities automatically and provide necessary information to remote supporters. The system adopts a wearable device to obtain activity data and for activity recognize and analysis. Moreover, we develop a rule-based algorithm and employ AHP method for information mining and filtering of daily activities. The filtered information is shared to supporters through cloud to reflect users’ behavior and health situations. The system is evaluated by 10 subjects and the result indicates its feasibility and effectiveness.
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Zhou, Y., Asano, Y., Jing, L., Cheng, Z. (2014). Life Support System by Motion Sensor-Based Behavior Monitoring and SNS-Based Information Sharing. In: Hsu, R.CH., Wang, S. (eds) Internet of Vehicles – Technologies and Services. IOV 2014. Lecture Notes in Computer Science, vol 8662. Springer, Cham. https://doi.org/10.1007/978-3-319-11167-4_40
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DOI: https://doi.org/10.1007/978-3-319-11167-4_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11166-7
Online ISBN: 978-3-319-11167-4
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