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The Body Action Coding System II: muscle activations during the perception and expression of emotion
Elisabeth M J Huis In 't Veld1, Geert J M van Boxtel2, Beatrice de Gelder3
1Brain and Emotion Laboratory, Department of Medical and Clinical Psychology, Tilburg University Tilburg, Netherlands.
This study expands the Body Action Coding System (BACS) by measuring muscle activity during emotional body language. Findings reveal distinct muscle recruitment for fear and anger expression and perception, advancing non-verbal emotion research.
Area of Science:
- Psychology
- Neuroscience
- Kinesiology
Background:
- Emotional expression and perception research traditionally focused on facial cues.
- Body postures are increasingly recognized for their role in emotional communication.
- Limited understanding exists regarding the specific muscle activity underlying emotional body language.
Purpose of the Study:
- To expand the Body Action Coding System (BACS) by incorporating additional muscle activity.
- To investigate muscle activation patterns during the active expression of fear and anger.
- To examine subconscious muscle responses during the passive perception of fearful and angry body postures.
Main Methods:
- Utilized surface electromyography (sEMG) to measure muscle activity.
- Assessed activity in neck, forearm, lower back, and calf muscles.
- Recorded muscle responses during both active emotional expression and passive viewing of emotional body language.
Main Results:
- Forearm muscles showed significant activity during anger and moderate activity during fear expression.
- Calf muscles were more recruited during fearful expressions compared to angry ones.
- Subtle, automatic muscle responses occurred during emotion perception, including forearm activation for fear and back muscle activation for anger.
Conclusions:
- The Body Action Coding System (BACS) is the first coding system based on objective muscle activity.
- Distinct muscle activation patterns differentiate the expression and perception of fear and anger.
- This research provides a foundation for developing systems that recognize or generate emotional body language for virtual environments and robotics.
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