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Original Article

Detection Scheme of Heart and Respiration Signals for a Driver of Car with a Doppler Radar

도플러 레이더 기반 차량 운전자의 심박 및 호흡 신호 검출 기법 연구

윤영욱1ㆍ이정표2ㆍ김진명3ㆍ김영억4*

Younguk Yun1, Jeongpyo Lee2, Jinmyung Kim3, Youngok Kim4*

1Graduate student, Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea
2Graduate student, Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea
3President, JCF Technology, Seoul, Republic of Korea
4Professor, Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea
31 March 2020. pp. 87-95
PDF Citation
Abstract
Purpose: In this paper, we propose an algorithm for detecting respiratory rate and heart beat of a driver of car by exploiting Doppler radar, and verifying the feasibility of the study through experiments. Method: In this paper, we propose a weighted peak detection technique using peak frequency values. The tests are performed in stop-state and driving-state, and the experiment result is analyzed by two proposed algorithms. Result: The results showed more than 95% and 96% accuracy of respiratory and heart rate, respectively. It also showed more than 72% and 84% accuracy of those even for driving experiments. Conclusion: The proposed detection scheme for vital signs can be used for the safety of the driver as well as for prevention of a large size of car accidents.
Keywords
Vital Sign
Car Accidents
Smart-car
Doppler RADAR
Signal Processing
연구목적: 본 논문에서는 도플러 레이더를 활용하여 차량 운전자의 호흡과 심박을 추정하는 알고리즘을 제안하고 실험을 통해 연구의 가능성을 확인한다. 연구방법: 본 논문에서는 검출 신호의 peak 주파수 값과 가중치를 활용하는 weighted peak detection 기법을 제안한다. 정지 상태와 주행 상태에서의 실험을 통해 제안하는 두 알고리즘의 정확도를 분석한다. 연구결과: 제안하는 알고리즘을 통해 정지 상태에서 측정된 호흡과 심박 검출 정확도는 각각 95%, 96% 이상의 결과를 보였다. 또한 실제 주행 실험에서도 각 72%, 84% 이상의 정확도를 보여 주행 시의 활용 가능성을 확인하였다. 결론: 본 논문에서 제안하는 생세 신호 검출 기법은 차량 운전자의 호흡이나 심장 이상을 자동으로 검출함으로 운전자 본인 및 대형 교통사고를 예방하는 기술로 활용이 가능하다.
키워드
생체신호 검출
차량사고
스마트카
도플러 레이더
신호처리
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Information
  • Publisher :The Korean Society of Disaster Information
  • Publisher(Ko) :한국재난정보학회
  • Journal Title :Journal of the Society of Disaster Information
  • Journal Title(Ko) :한국재난정보학회논문집
  • Volume : 16
  • No :1
  • Pages :87-95
  • DOI :https://doi.org/10.15683/kosdi.2020.3.31.087
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