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CNN-Based Driver Monitoring Using Millimeter-Wave Radar Sensor
- Source :
- IEEE Sensors Letters. 5:1-4
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In this letter, we propose a method of monitoring driver's movement using a small-sized millimeter-wave radar sensor. First, we install a frequency-modulated continuous wave radar sensor on the steering wheel and collect reflected signals for various driver motions. Because the reflection patterns are different for each motion, we can distinguish different movements of the driver by analyzing the received signal. In our method, we use the spectrogram of the received signal obtained through multiple measurements and apply a window function to extract the radar signal in the form of an image. Then, we use the convolutional neural network architecture to classify the radar signal images. The classification results show that our proposed method can classify four different movements of the driver with an accuracy higher than 80%.
- Subjects :
- Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
020206 networking & telecommunications
02 engineering and technology
Convolutional neural network
Signal
Window function
law.invention
Continuous-wave radar
Radar engineering details
law
Radar imaging
0202 electrical engineering, electronic engineering, information engineering
Spectrogram
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
Radar
business
Instrumentation
021101 geological & geomatics engineering
Subjects
Details
- ISSN :
- 24751472
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Sensors Letters
- Accession number :
- edsair.doi...........949184c1ea1e70bf97cb86fd1c02a61d