Abstract
In non-contact vital sign monitoring using radar, radar signal distorted by the surrounding unspecified factors is unsuitable for monitoring vital signs. In order to monitor vital signs accurately, it is essential to compensate for distortion of radar signals caused by surrounding environmental factors. In this paper, we propose a driver vital signal compensation method in driving situations, including the driver’s movements using a frequency-modulated continuous-wave (FMCW) radar. Driver’s movement is quantified from the radar signal and used to set a distortion signal compensation index to compensate for the signal distortion induced in the driving situation that the driver’s movement occurs. The experimental results show that the respiration rate estimated from the radar signal compensated through the proposed method is similar to the actual respiration rate than from the signal before calibration. These results confirm the possibility of using the proposed method in a non-statistic situation and effectiveness in estimating respiration rate reflecting human movement in monitoring vital signs using FMCW radar.
Highlights
As driving a vehicle becomes a major part of our daily life, the incidence of traffic accidents increases due to numerous factors
Accurate driver vital signal monitoring during driver movements is a very useful technology for the prevention of major driving accidents caused by respiratory abnormalities
For limited driving situations in an experimental environment, we acquired driver vital signals using a highly portable frequency-modulated continuous-wave (FMCW) radar, which can be packaged in small sizes
Summary
As driving a vehicle becomes a major part of our daily life, the incidence of traffic accidents increases due to numerous factors. Driver breathing abnormalities, such as apnea or hyperventilation, and drowsy driving are among the main causes of traffic accidents every year. Conventional methods of monitoring driver vital signals [12–14] estimate the respiration rate in situations where the driver’s condition is stable and the driver’s movement is not incorporated. We introduce a new signal compensation index setting method that detects the driver’s movement using a 60 GHz bandwidth FMCW radar and compensates for the distorted driver’s respiration signal. Respiration rates estimated from the driver’s respiration signal, which was compensated by the proposed method and that without compensation, were compared with the actual driver respiration rate, in contrast to the conventional vital signal monitoring method
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