KEYWORDS: Radar, Extremely high frequency, Roads, Bandpass filters, Signal detection, Linear filtering, Cameras, Vital signs, Instrument modeling, Data modeling
China, as a country with a large number of cars, has complicated road traffic conditions, which makes drivers vulnerable to various factors to induce "road rage" and make dangerous driving behaviors. To solve this problem, we have developed a non-contact vital sign signal monitoring device based on millimeter wave radar, which is used to detect the anger of drivers in real time during driving. In terms of algorithm, we use band-pass filter to reduce noise and separate the driver's chest vibration signal, and get the respiratory and heartbeat signals. Taking them as inputs, the GBDT model is trained, and the fitting analysis of the driver's anger arousal degree shows that the prediction accuracy of the model reaches 92.83%.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.