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Cited 37 time in webofscience Cited 45 time in scopus
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Vital Sign Monitoring and Mobile Phone Usage Detection Using IR-UWB Radar for Intended Use in Car Crash Preventionopen access

Authors
Leem, Seong KyuKhan, FaheemCho, Sung Ho
Issue Date
Jun-2017
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
collision prevention; car safety; driver behavior; drowsiness; distraction; vital signs; IR-UWB radar; phone detection
Citation
Sensors, v.17, no.6
Indexed
SCIE
SCOPUS
Journal Title
Sensors
Volume
17
Number
6
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/19666
DOI
10.3390/s17061240
ISSN
1424-8220
1424-8220
Abstract
In order to avoid car crashes, active safety systems are becoming more and more important. Many crashes are caused due to driver drowsiness or mobile phone usage. Detecting the drowsiness of the driver is very important for the safety of a car. Monitoring of vital signs such as respiration rate and heart rate is important to determine the occurrence of driver drowsiness. In this paper, robust vital signs monitoring through impulse radio ultra-wideband (IR-UWB) radar is discussed. We propose a new algorithm that can estimate the vital signs even if there is motion caused by the driving activities. We analyzed the whole fast time vital detection region and found the signals at those fast time locations that have useful information related to the vital signals. We segmented those signals into sub-signals and then constructed the desired vital signal using the correlation method. In this way, the vital signs of the driver can be monitored noninvasively, which can be used by researchers to detect the drowsiness of the driver which is related to the vital signs i. e., respiration and heart rate. In addition, texting on a mobile phone during driving may cause visual, manual or cognitive distraction of the driver. In order to reduce accidents caused by a distracted driver, we proposed an algorithm that can detect perfectly a driver's mobile phone usage even if there are various motions of the driver in the car or changes in background objects. These novel techniques, which monitor vital signs associated with drowsiness and detect phone usage before a driver makes a mistake, may be very helpful in developing techniques for preventing a car crash.
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