Facial expressions¶
Facial expressions—including micro-expressions, emotional displays, and hand gestures—as behavioral signals for detecting deceptive statements and intentional deception.
Overview¶
Research in deception detection has long documented non-verbal behavioral cues indicative of lying. Facial expressions and hand gestures provide signals that can complement linguistic and acoustic features. Micro-expressions, defined as involuntary facial expressions lasting milliseconds, are particularly studied as indicators of genuine versus suppressed emotions and deceptive intent.
Key papers¶
- A Deep Learning Approach for Multimodal Deception Detection — Uses 39 binary micro-expression features (frowning, smiling, eyebrow raising, etc.) alongside video, audio, and text for multimodal deception detection in courtroom trials; shows micro-expressions contribute meaningfully to 96.14% detection accuracy.
Related topics¶
- Deception Detection (parent: deception detection methods)
- Multimodal fake news detection (broader multimodal analysis)
- Emotion Recognition (related behavioral analysis)