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An Improved Motion-Sensing Based Monitoring System for Smart Health Care

An Improved Motion-Sensing Based Monitoring System for Smart Health Care

Ruiling Gao, Minghuan Zhao, Zhihui Qiu, Yingzhou Yu, C. Hwa Chang
Copyright: © 2015 |Volume: 3 |Issue: 4 |Pages: 14
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781466680623|DOI: 10.4018/IJSI.2015100104
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MLA

Gao, Ruiling, et al. "An Improved Motion-Sensing Based Monitoring System for Smart Health Care." IJSI vol.3, no.4 2015: pp.48-61. http://doi.org/10.4018/IJSI.2015100104

APA

Gao, R., Zhao, M., Qiu, Z., Yu, Y., & Chang, C. H. (2015). An Improved Motion-Sensing Based Monitoring System for Smart Health Care. International Journal of Software Innovation (IJSI), 3(4), 48-61. http://doi.org/10.4018/IJSI.2015100104

Chicago

Gao, Ruiling, et al. "An Improved Motion-Sensing Based Monitoring System for Smart Health Care," International Journal of Software Innovation (IJSI) 3, no.4: 48-61. http://doi.org/10.4018/IJSI.2015100104

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Abstract

Smart health care system has been widely studied by researchers in recent years. Various system design schemes have been proposed for the purpose of enhancing the performance of traditional hospital-centered health care system. Equipped with wireless devices, the innovative system is capable to offer intelligent monitoring and control. In this paper, the authors present an improved web-based motion detection system for health care. The algorithm running on it can detect different motion patterns for individuals and perform well across different hardware platforms, such as Android phones and sensors. The authors use Contiki and its supported low-power wireless standards for 6LoWPAN-based Wireless Sensor Network (WSN) to address security issues and realize real-time bidirectional communication. The Web of Things (WoT) integrates data from resource-constrained sensors into web applications and allows the realization of this smart system. Further, a technical evaluation is given to evaluate this system.

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