News Column

Findings from Pukyong National University Yields New Data on Intelligent Systems

February 17, 2014



By a News Reporter-Staff News Editor at Robotics & Machine Learning -- A new study on Intelligent Systems is now available. According to news originating from Pusan, South Korea, by VerticalNews correspondents, research stated, "Real time driver health condition monitoring system with drowsiness alertness was proposed. A new embedded electrocardiogram (ECG) sensor with electrically conductive fabric electrodes on the steering wheel of a car was designed to monitor the driver's health condition."

Our news journalists obtained a quote from the research from Pukyong National University, "The ECG signals were measured at a sampling rate of 100 Hz from the driver's palms as they stay on a pair of conductive fabric electrodes located on the steering wheel. Practical tests were conducted using an embedded ECG sensor with a wireless sensor node, and their performance was assessed under non-stop 2 h driving test. The ECG signals were measured and transmitted wirelessly to a base station connected to a server PC in personal area network environment."

According to the news editors, the research concluded: "The driver's health condition such as the normal, fatigued and drowsy states was analysed by evaluating the heart rate variability in the time and frequency domains."

For more information on this research see: Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel. IET Intelligent Transport Systems, 2014;8(1):43-50. IET Intelligent Transport Systems can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England. (The Institution of Engineering and Technology - www.theiet.org/; IET Intelligent Transport Systems - www.ietdl.org/IET-ITS)

The news correspondents report that additional information may be obtained from S.J. Jung, Pukyong Natl Univ, Dept. of Elect Engn, Pusan 608737, South Korea. Additional authors for this research include H.S. Shin and W.Y. Chung.

Keywords for this news article include: Asia, Pusan, South Korea, Intelligent Systems

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Source: Robotics & Machine Learning


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