![]() In Part 2, naive decoders viewed and rated the reactions of these observers. Microanalysis showed that the pattern and timing of the observer's motor mimicry were significantly affected by the visual availability of the victim. The victim of an apparently painful injury was either increasingly or decreasingly available for eye contact with the observer. Part 1 examined the effect of a receiver on the observer's motor mimicry. A 2-part experiment with 50 university students tested the hypothesis that motor mimicry is instead an interpersonal event, a nonverbal communication intended to be seen by the other. Moreover, the present study provides a theoretical basis that intelligent micro-expressions analysis could improve the lie detection performance by focusing on the area of the forehead, eyebrows, and cheeks.Įlementary motor mimicry (e.g., wincing when another is injured) has been previously considered in social psychology as the overt manifestation of some intrapersonal process such as vicarious emotion. Second, the experiment result verified that the muscles related to deception detection were consistent with those with higher frequency occurring in micro-expression. First, the present study found that the zygomaticus and corrugator supercilii could play important roles in deception detection, and our findings are consistent with existed research. Based on our proposed approach, the importance of seven selected facial muscles was explored by comparing the corresponding facial EMG (fEMG) between truth and lying conditions. Moreover, we propose a vector-based sequential forward selection (VSFS) algorithm to identify the muscle (or muscle combination) most closely associated with lying. Addressing this issue, this paper proposes an experimental paradigm with high ecological validity that uses electromyography (EMG) signals to precisely examine the role of facial muscle movements in deception detection. However, the aim of this study is to demonstrate the direct relationship between facial muscle movements and deception detection. In the existed research investigating the relationship between facial muscles and deception detection, researchers have focused almost exclusively on two muscles, i.e., zygomaticus and corrugator supercilii, based on the theoretical basis that they are highly associated with positive and negative expressions. My class on Drawing Facial Expressions To Convey Feelings & Emotions is ideal for comic book artists, animators and anyone interested in character design – but make no mistake, the skills learned in these lessons can be easily transferred to any art medium and genre to enhance the emotional impact of an illustrated face.Micro-expression, which is generated by facial muscle movements, could be a crucial cue for deception detection.
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