Classification of Driver Head Motions Using a mm-Wave FMCW Radar and Deep Convolutional Neural Network

Classification of Driver Head Motions Using a mm-Wave FMCW Radar and Deep Convolutional Neural Network

Eight different driver head movements are measured using a millimeter-wave FMCW radar mounted in the dashboard of a car. The micro-Doppler signatures are converted into a spectrogram image format for analysis and classification purposes. The eight different head motions exhibit unique time-frequency...

Full description

Bibliographic Details
Main Authors: Drew G. Bresnahan, Yang Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Human motion
driver
head
micro-Doppler
spectrogram
millimeter wave
Online Access:https://ieeexplore.ieee.org/document/9481111/

Internet

https://ieeexplore.ieee.org/document/9481111/

Similar Items