Vital Sign Monitoring and Mobile Phone Usage Detection Using IR-UWBRadar for Intended Use in Car Crash Prevention

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/486929.do
DOI
10.3390/s17061240
Title
Vital Sign Monitoring and Mobile Phone Usage Detection Using IR-UWBRadar for Intended Use in Car Crash Prevention
Description
This research was supported by the Research Grant from HanyangUniversity through the Korea Agency for Infrastructure TechnologyAdvancement funded by the Ministry of Land, Infrastructure and Transportof the Korean government (17RTRP-B067918-05).
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.
provenance
Made available in Cube on 2018-09-28T16:20:42Z (GMT). No. of bitstreams: 0
language
English
author
Leem, Seong Kyu
Khan, Faheem
Cho, Sung Ho
orcid
Khan, Faheem/0000-0002-8754-6297
accessioned
2018-09-28T16:20:42Z
available
2018-09-28T16:20:42Z
issued
2017
citation
SENSORS(17): 6
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/486929.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345274012
Jurisdiction
Rep.of Korea
Project Name
Fusion IT Education Program for Future Innovation Leaders
rights
openAccess
subject
collision prevention
car safety
driver behavior
drowsiness
distraction
vital signs
IR-UWB radar
phone detection
type
article


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