A functional near-infrared spectroscopy based lie detector

Deception involves complex neural processes and correlates in the brain. Different techniques have been used to study and understand brain mechanisms during deception. Moreover, efforts have been made to develop schemes that can detect and differentiate the deception and truth telling. In this paper, a functional near-infrared spectroscopy (fNIRS) based online brain deception decoding framework is developed. Deploying a dual-wavelength functional near-infrared spectroscopy, we interrogated sixteen sites around the forehead locations while eight able-bodied adults performed in separately deception scenarios and truth-telling scenarios. With the combination of preprocessed oxy-hemoglobin and deoxy-hemoglobin signals, we developed subject-specific classifiers using the support vector machine.