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The Body Action Coding System II: muscle activations during the perception and expression of emotion

机译:身体动作编码系统II:在感知和表达情绪时激活肌肉

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摘要

Research into the expression and perception of emotions has mostly focused on facial expressions. Recently, body postures have become increasingly important in research, but knowledge on muscle activity during the perception or expression of emotion is lacking. The current study continues the development of a Body Action Coding System (BACS), which was initiated in a previous study, and described the involvement of muscles in the neck, shoulders and arms during expression of fear and anger. The current study expands the BACS by assessing the activity patterns of three additional muscles. Surface electromyography of muscles in the neck (upper trapezius descendens), forearms (extensor carpi ulnaris), lower back (erector spinae longissimus) and calves (peroneus longus) were measured during active expression and passive viewing of fearful and angry body expressions. The muscles in the forearm were strongly active for anger expression and to a lesser extent for fear expression. In contrast, muscles in the calves were recruited slightly more for fearful expressions. It was also found that muscles automatically responded to the perception of emotion, without any overt movement. The observer's forearms responded to the perception of fear, while the muscles used for leaning backwards were activated when faced with an angry adversary. Lastly, the calf responded immediately when a fearful person was seen, but responded slower to anger. There is increasing interest in developing systems that are able to create or recognize emotional body language for the development of avatars, robots, and online environments. To that end, multiple coding systems have been developed that can either interpret or create bodily expressions based on static postures, motion capture data or videos. However, the BACS is the first coding system based on muscle activity.
机译:对情绪表达和感知的研究主要集中在面部表情上。近来,身体姿势在研究中变得越来越重要,但是缺乏关于在感知或表达情绪期间的肌肉活动的知识。当前的研究继续在先前的研究中启动的人体动作编码系统(BACS)的开发,该系统描述了恐惧和愤怒表达过程中颈部,肩膀和手臂肌肉的参与。当前的研究通过评估另外三块肌肉的活动模式来扩展BACS。在主动表达和被动观察恐惧和愤怒的身体表达过程中,测量了颈部肌肉(斜方肌下降),前臂(腕腕伸肌),下背部(竖脊肌长直肌)和小腿(腓骨长直肌)的表面肌电图。前臂的肌肉对于愤怒的表达非常活跃,而对于恐惧的表达则程度较小。相比之下,小腿的肌肉会因为恐惧的表情而更多地被招募。还发现,肌肉会自动响应情绪感知,而无需任何明显的运动。观察者的前臂对恐惧的感觉做出反应,而面对愤怒的对手时,用于向后倾斜的肌肉被激活了。最后,当看到一个害怕的人时,小牛立即做出反应,但对愤怒的反应较慢。对于能够创建或识别用于化身,机器人和在线环境开发的情感肢体语言的系统,人们越来越感兴趣。为此,已经开发了多种编码系统,它们可以基于静态姿势,运动捕捉数据或视频来解释或创建身体表情。但是,BACS是第一个基于肌肉活动的编码系统。

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