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      다중 웨어러블 센서를 활용한 운전자 상태 인식 = Driver`s Status Recognition Using Multiple Wearable Sensors

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      https://www.riss.kr/link?id=A103330326

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      다국어 초록 (Multilingual Abstract)

      In this paper, we propose a new safety system composed of wearable devices, driver`s seat belt, and integrating controllers. The wearable device and driver`s seat belt capture driver`s biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver`s safety from driver`s seat, steering wheel, or facial camera to capture driver`s physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver`s condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver`s condition.
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      In this paper, we propose a new safety system composed of wearable devices, driver`s seat belt, and integrating controllers. The wearable device and driver`s seat belt capture driver`s biological information, while the integrating controller analyzes ...

      In this paper, we propose a new safety system composed of wearable devices, driver`s seat belt, and integrating controllers. The wearable device and driver`s seat belt capture driver`s biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver`s safety from driver`s seat, steering wheel, or facial camera to capture driver`s physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver`s condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver`s condition.

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      참고문헌 (Reference)

      1 김재우, "호흡기반 운전자 졸음 감지를 위한 압력센서 시스템" 한국ITS학회 12 (12): 45-51, 2013

      2 허윤석, "작업 부하에 따른 운전자의 생체신호 처리 및 특성 분석" 한국산업정보학회 20 (20): 87-93, 2015

      3 주문일, "생체신호 습득과 건강 모니터링을 위한스마트 헬스케어 의복 개발" 한국멀티미디어학회 19 (19): 808-817, 2016

      4 안경호, "맥파 기반의 HRV 분석을 위한 P-Peak 검출 알고리즘" 대진대학교 대학원 2014

      5 H. Kang, "Various approaches for driver and driving behavior monitoring: a review" 2013

      6 "Toyota demos ECG sensing steering wheel"

      7 "The Ford heart rate monitoring seat"

      8 D. Koh, "Smartphone-based modeling and detection of aggressiveness reactions in senior drivers" 2015

      9 "Smart Steering Wheel Monitors Vital Signs, Diagnoses Irrational Road-Rage"

      10 "Report of Test : 3 types of Bio-metric sensor for Yujeong System" TTA 2016

      1 김재우, "호흡기반 운전자 졸음 감지를 위한 압력센서 시스템" 한국ITS학회 12 (12): 45-51, 2013

      2 허윤석, "작업 부하에 따른 운전자의 생체신호 처리 및 특성 분석" 한국산업정보학회 20 (20): 87-93, 2015

      3 주문일, "생체신호 습득과 건강 모니터링을 위한스마트 헬스케어 의복 개발" 한국멀티미디어학회 19 (19): 808-817, 2016

      4 안경호, "맥파 기반의 HRV 분석을 위한 P-Peak 검출 알고리즘" 대진대학교 대학원 2014

      5 H. Kang, "Various approaches for driver and driving behavior monitoring: a review" 2013

      6 "Toyota demos ECG sensing steering wheel"

      7 "The Ford heart rate monitoring seat"

      8 D. Koh, "Smartphone-based modeling and detection of aggressiveness reactions in senior drivers" 2015

      9 "Smart Steering Wheel Monitors Vital Signs, Diagnoses Irrational Road-Rage"

      10 "Report of Test : 3 types of Bio-metric sensor for Yujeong System" TTA 2016

      11 J. Healey, "Quantifying Driver Stress:Developing a System for Collecting and Processing Biometric Signals in Natural situations" 1999

      12 "Plessey PS25003 EPIC Demonstration Kit"

      13 "Heart rate variability: Standards of measurement, physiological interpretation, and clinical use" 17 (17): 354-381, 1996

      14 "Ford Ends its ECG seat Plans"

      15 H. Kim, "Driver drowsiness recognition system based on camera image analysis" 23 (23): 719-722, 2016

      16 "Autonomic Assessment Report: A Comprehensive Heart Rate Variability Analysis" HEARTMATH Research Center 1996

      17 "Active Comfort provides for stress-free driving and recuperation in the car: Mercedes cars take on the role of personal coach (april 2012)"

      18 Transport Safety Agency, "A Study on types and causes of distracted driving in a vehicle accident" Korea Transportation Safety Authorization 2012

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2012-10-31 학술지명변경 한글명 : 컴퓨터 및 통신시스템 -> 정보처리학회논문지. 컴퓨터 및 통신시스템 KCI등재
      2012-10-10 학술지명변경 한글명 : 정보처리학회논문지A -> 컴퓨터 및 통신시스템
      외국어명 : The KIPS Transactions Part : A -> KIPS Transactions on Computer and Communication Systems
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-03-04 학술지명변경 한글명 : 정보처리학회논문지 A, B, C, D -> 정보처리학회논문지 A
      외국어명 : The KIPS Transactions Part : A, B, C, D -> The KIPS Transactions Part : A
      KCI등재
      2009-03-04 학술지명변경 한글명 : 정보처리학회논문지 A -> 정보처리학회논문지A KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.16 0.16 0.14
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.12 0.11 0.315 0.07
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