Skip to main content
Video s3
    Details
    Poster
    Presenter(s)
    Anwar Elhadad Headshot
    Display Name
    Anwar Elhadad
    Affiliation
    Affiliation
    University of Vermont
    Country
    Abstract

    This paper focuses on detecting the respiratory of a person by utilizing a Doppler radar to monitor the chest movement during respiration. Specifically, machine learning approach in conjunction with the radar sensor is utilized to capture the radar reflection pulse signal and its movement patterns. By analyzing the evolution of the reflected pulse while breathing, the respiratory rate can be accurately measured. In addition, the change of respiration ratio and respiration patterns can be characterized.