Abstract
Biometric information is used in a variety of industrial fields. Heart rate and respiration rate, in particular, are widely applied not only in medical institutions but also in life safety. However, a sensor must be worn or directly attached to the human body to obtain a bio signal, which is inconvenient and limits its application. In this study, a 24 GHz radar sensor module is developed, and an algorithm is implemented by analyzing the frequency and peak values of a human participant’s heartbeat and respiration signals in an unconstrained state. In the experiment, the existing ECG equipment (MP150) and radar sensor module are compared. The results indicate that the average value of MP150 is higher than that of the Doppler sensor in terms of all parameters; however, the deviation of the Doppler sensor is small, and the bias is low. Furthermore, it is confirmed that the HRV decreases in the drowsy state compared to that in the wakeful state in both devices. These results confirm that bio-signals change during drowsiness, and conversely, drowsiness can be detected through changes in bio-signals, which is a significant finding.
Highlights
In the past five years, accidents caused by driver drowsiness have been increasing, accounting for more than 20% of all accidents
To detect drowsiness presented in the introduction, we will manufacture a Doppler-based radar sensor module that will be tested, and conduct tests on subjects to analyze the heart rate, HRV, and respiratory rate of awakening and drowsiness to check whether drowsiness is detected
Non-contact bio-signal measurements have been conducted through radar sensor module production
Summary
In the past five years, accidents caused by driver drowsiness have been increasing, accounting for more than 20% of all accidents. Drowsiness is induced when a person is physically or mentally tired and in is a state close to sleep. It is an involuntary response signaling the body to rest. Drowsiness can occur when performing repetitive and focused tasks, such as driving, on highways where driving conditions are rather monotonous [2]. The nature of highways makes driving at high speeds significantly risky, and accidents resulting from drowsy driving can cause severe personal injury. According to Korean Road Traffic Authority data, approximately 23% of highway accidents over the past 10 years have been caused by drowsy driving, with the percentage steadily increasing
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