Evaluating the effect of emotion on gender recognition in virtual humans
Evaluating the effect of emotion on gender recognition in virtual humans
复制标题
评估情绪对虚拟人性别识别的影响
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Mcdonnell
中科院分区：
文献类型：
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作者：
Katja Zibrek;Ludovic Hoyet;K. Ruhland;R. Mcdonnell
在本文中，我们调查人类的能力，以确定性别的交谈字符，基于面部和身体的线索的情绪。我们使用了一个语料库，同时捕获的面部和身体动作，从四个男性和四个女性演员。在我们的性别评级任务中，参与者被要求在不同的情绪状态下对他们认为的动作是男性还是女性进行评级。在我们的情绪识别任务中，参与者被要求对情绪进行分类，以确定这些情绪的准确程度。我们发现，性别感知受到情绪的影响，某些情绪会促进性别决定，而另一些情绪则会掩盖性别决定。我们还发现，一种情绪被描绘得有多准确与该动作中存在多少性别信息之间没有相关性。最后，我们发现用于显示运动的模型并不影响性别对运动的感知，但确实改变了情感识别。
In this paper, we investigate the ability of humans to determine the gender of conversing characters, based on facial and body cues for emotion. We used a corpus of simultaneously captured facial and body motions from four male and four female actors. In our Gender Rating task, participants were asked to rate how male or female they considered the motions to be, under different emotional states. In our Emotion Recognition task, participants were asked to classify the emotions, in order to determine how accurately perceived those emotions were. We found that gender perception was affected by emotion, where certain emotions facilitated gender determination while others masked it. We also found that there was no correlation between how accurate an emotion was portrayed and how much gender information was present in that motion. Finally, we found that the model used to display the motion did not affect gender perception of motion but did alter emotion recognition.