Research on polygraph technology based on ballistocardiogram signal

Polygraph technology has always been concerned by the society. At present, there are many technologies used in the field of lie detection research. By summarizing the characteristics of the current technology, this paper proposes a multi-channel concealed polygraph technology based on ballistocardiogram (BCG), which can make up for the shortcomings of the existing technology. In this paper, the BCG signal, image signal, speech signal and galvanic skin response (GSR) signal are used to preprocess and extract the features. Using the extracted features to train the classification model, we can get an overall accuracy of 78%, and the area under the curve (AUC) score is 0.84. This experiment proves the effectiveness and advantages of BCG signal for lie detection, and also provides an effective method for the study of concealed polygraph technology.

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