Chongxun Zheng

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In this paper, a novel P300-based concealed information test (CIT) method was proposed to improve the efficiency of differentiating deception and truth-telling. Thirty subjects including the guilty and innocent performed the paradigm based on three types of stimuli. In order to reduce the influence from the occasional variability of cognitive states on the(More)
An important step in the construction of a support vector machine (SVM) is to select optimal hyperparameters. This paper proposes a novel method for tuning the hyperparameters by maximizing the distance between two classes (DBTC) in the feature space. With a normalized kernel function, we find that DBTC can be used as a class separability criterion since(More)
Driving mental fatigue is a main cause of some serious transportation accident and it has drawn increasing attention in recent years. In this study, an automatic measurement of driving mental fatigue based on the Electroencephalographic (EEG) is presented. Fifteen healthy subjects who performed continuous simulated driving task for 90 minutes with EEG(More)
The electroencephalogram (EEG) is often contaminated by electromyography (EMG). In this paper, a novel and robust technique is presented to eliminate EMG artifacts from EEG signals in real-time. First, the canonical correlation analysis (CCA) method is applied on the simulated EEG data contaminated by EMG and electrooculography (EOG) artifacts for(More)
Expectation maximization (EM) algorithm has been used widely for calculating the maximum likelihood (ML) parameters in the statistical segmentation of brain magnetic resonance (MR) images. Since standard EM algorithm is time and computer memory consuming, which makes the segmentation impractical in many real-world situations. In order to overcome this, a(More)
Recently, numerous concealed information test (CIT) studies have been done with event related potential (ERP) for its sufficient validity in applied use. In this study, a new approach based on wavelet coefficients (WCs) and kernel learning algorithm is proposed to identify concealed information. Totally 16 subjects went through the designed CIT paradigm and(More)
Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Feature analysis of the carpal-bones can reveal the important information for skeletal age assessment. The present work in this paper faces the problem of the detection of carpal -bone features from X-ray image. A novel and effective(More)