Title :
Driver´s health management system using nanosecond pulse near-field sensing technology
Author :
Yen-Hsien Lee ; Shih-Tsung Liu ; Hong-Dun Lin ; Wen-Jen Tseng
Author_Institution :
Center for Meas. Stand., Ind. Technol. Res. Inst., Hsinchu, Taiwan
Abstract :
Long-term and continuous non-invasive driver´s health monitoring has shown that it is the most important to measure driver´s fatigue level and personal health status. Currently, there are many preferable methods, including ECG, EEG and EOG, to get the physiological parameters of driver. However, the size of the machine is large and the operation of monitors is difficult. The measurement procedure is limited by long-term, continuous measurement and also easy to cause discomfort. To improve these issues, the noncontact and non-pressurized measuring method will become an important innovation improvement. This paper presents a driver´s health management system using noncontact physical sensor technology. The system contains three portions: (a) nanosecond pulse near-field sensing (NPNS) radar system, (b) physiological signal processing, and (c) controller area network (CAN) system. The experimental results show that the NPNS radar sensor can be applied to detect driver´s health status and combined with car system for driving safety and health management.
Keywords :
biomedical electronics; biomedical measurement; controller area networks; health care; intelligent sensors; occupational health; occupational medicine; occupational safety; patient care; patient monitoring; CAN system; ECG-based driver physiological parameter measurement; EEG-based driver physiological parameter measurement; EOG-based driver physiological parameter measurement; NPNS radar sensor; NPNS radar system; car system-integrated driver health status measurement; continuous driver health monitoring; controller area network system; driver fatigue level measurement; driver health management system; driver health status detection; driver physiological parameter measurement limitations; driving safety; electrocardiography-based measurement; electroencephalography-based measurement; electrooculography-based measurement; long-term driver health monitoring; nanosecond pulse near-field sensing radar system; nanosecond pulse near-field sensing technology; noncontact driver physiological parameter measurement; noncontact physical sensor technology; noninvasive driver health monitoring; nonpressurized driver physiological parameter measurement; personal health status measurement; physiological signal processing; Biomedical monitoring; Pulse measurements; Radar; Safety; Sensors; Signal processing; Vehicles; CAN; NPNS; driving safty; health management; physical sensor;
Conference_Titel :
Computer, Communications, and Control Technology (I4CT), 2014 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-4556-6
DOI :
10.1109/I4CT.2014.6914223