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NON-CONTACT WEARABLE BODY AREA NETWORK FOR DRIVER HEALTH AND FATIGUE MONITORING

Sun, Ye
http://rave.ohiolink.edu/etdc/view?acc_num=case1405119991

Abstract Details

2014, Doctor of Philosophy, Case Western Reserve University, EECS - Electrical Engineering.
The rapidly growing aging population is a global phenomenon in the recent decades. The concomitant prevalence of chronic diseases necessitates proactive approaches to reduce the high cost and enhance the biocompatibility and operability of the current healthcare systems. As a result, preventive, proactive, and human-centric healthcare needs to be developed to complement the current reactive and hospital-centric healthcare to provide high-quality monitoring and assistance without interrupting patients’ daily lives. This study aims to facilitate the development of human-centered health monitoring system with a focus on driver health and fatigue monitoring. A comprehensive framework for human centered health monitoring has been development that includes three major components, i.e., enabling technology, human factor, and computational diagnosis. In the technology part, this study established a non-intrusive and non-contact monitoring platform for human health. Unlike the conventional clinical bio-potential measurement system, the platform is able to acquire the electrophysiological signals with a gap between the skin and the electrodes that is occupied by hair, cloth, and air. The non-contact monitoring platform avoids skin irritation and allergic contact dermatitis and is suitable for long-term monitoring purpose. To increase the flexibility in practical application, a body area network has also been integrated and tested for different scenarios such as driving and home monitoring. The developed enabling technology was validated using simulated driving scenario as a test bench, since it constitutes a high stress and high risk condition. For the human factor component, analyses were conducted on physiological data collected on drivers operating a high fidelity driving simulator. This involves driver state analyses particularly related to drowsiness and mental stress. The computational component involved the development of algorithms to assess the robustness of different physiological indicators for the extent of driver fatigue. Moreover, physiological signals for mental stress were also investigated which will serve as the technical basis for timely assistance.
Xiong Yu (Advisor)
Francis Merat (Committee Member)
Philip Feng (Committee Member)
Chung-Chiun Liu (Committee Member)
141 p.
Electrical Engineering
Body area network, health monitoring, driver fatigue, human factor

Recommended Citations

Citations

  • Sun, Y. (2014). NON-CONTACT WEARABLE BODY AREA NETWORK FOR DRIVER HEALTH AND FATIGUE MONITORING [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1405119991

    APA Style (7th edition)

  • Sun, Ye. NON-CONTACT WEARABLE BODY AREA NETWORK FOR DRIVER HEALTH AND FATIGUE MONITORING. 2014. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1405119991.

    MLA Style (8th edition)

  • Sun, Ye. "NON-CONTACT WEARABLE BODY AREA NETWORK FOR DRIVER HEALTH AND FATIGUE MONITORING." Doctoral dissertation, Case Western Reserve University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405119991

    Chicago Manual of Style (17th edition)

case1405119991
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© 2014, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.