The Secret Language of Our Body: Affect and Personality Recognition Using Physiological Signals
The Secret Language of Our Body: Affect and Personality Recognition Using Physiological Signals
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我们身体的秘密语言：利用生理信号进行情感和人格识别
DOI：
10.1145/2663204.2666290
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Julia Wache
中科院分区：
文献类型：
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作者：
Julia Wache
我们提出了一个新的框架解码个人？情绪状态和人格特质的基础上的生理反应的情感电影剪辑。在观看36个视频片段的过程中，我们使用心电图（ECG），皮肤电反应（GSR），面部脑电图（EEG）和面部情绪反应的测量来解码i）参与者的情绪状态和ii）他们的大五人格特质，扩展了以前的工作，这些工作将外显（用户评级）与一些内隐（生理）情感反应或其中之一与选定的人格特质联系起来。我们公开了第一个包含情感和个性信息的数据集，以供进一步研究，并进一步探索用于未来应用的自动情感和个性检测的不同方法和实现。
We present a novel framework for decoding individuals? emotional state and personality traits based on physiological responses to affective movie clips. During watching 36 video clips we used measures of Electrocardiogram (ECG), Galvanic Skin Response (GSR), facial-Electroencephalogram (EEG) and facial emotional responses to decode i) the emotional state of partcipants and ii) their Big Five personality traits extending previous work that had connected either explicit (user ratings) with some implicit (physiological) affective responses or one of them with selected personality traits. We make the first dataset comprising both affective and personality information publicly available for further research and we further explore different methods and implementations for automated emotion and personality detection for future applications.