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Verbal and Non-Verbal Features in Deception Detection Systems

机译:欺骗检测系统中的口头和非语言特征

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Deception detection system is widely applied in different areas that are related to security, hiring new employees for business, criminal investigation, law enforcement, terrorism detection and others. There are different cues or signals that are used in implementing algorithms for deception detection. These cues are either verbal or non-verbal. The verbal cues mean the signal that extracted from speech, while non-verbal features related to facial expressions, eye gaze, head moments, eye blinking and other body gestures. The non-verbal features are so important and widely applied in recent studies. These features also achieve acceptable accuracy. While verbal features are less applied than non-verbal and achieve less detection accuracy.
机译:欺骗性检测系统广泛应用于与安全有关的不同领域,为企业,刑事调查,执法,恐怖主义检测和其他人招聘新员工。有不同的线索或信号用于实现欺骗性检测的算法。这些提示是口头或非言语。口头提示意味着从语音中提取的信号,而与面部表情,眼睛凝视,头部时刻,眼睛眨眼和其他身体手势相关的非言语特征。在最近的研究中,非言语特征是如此重要和广泛应用。这些功能也可以实现可接受的准确性。虽然口头特征不如非言语的应用,但达到较少的检测准确性。

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