Non-Contact Sleep Motion Detection Based on Energy Density Distribution of 24 GHz Continuous Wave Doppler Radars
Sleep motion is an important physiological indicator reflecting sleep quality.The existing radar based sleep motion detection methods mainly detect the sleep motion according to the change of the original energy of radar signals.However,the accuracies of these methods are limited when detecting sleep motions of different targets,because different amplitudes of target motions may lead to differ-ences in energy changes.To improve the accuracy of sleep motion detection,a sleep motion detection method based on energy density distribution of radars is proposed.Firstly,the statistic and the significance level features based on radar energy density distribution are extracted.Then,the XGBoost model is introduced to achieve sleep motion detection.Finally,the effectiveness and robustness of the method are verified by real experiments in various environments.The experimental results show that the proposed statistic feature and significance level feature can effectively improve the detection accuracy while reducing the number of training samples,and can achieve more than 95%of detection accuracy in various environments.
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