This work explores the utility of implicit behavioral cues, namely, Electroencephalogram (EEG) signals and eye movements for gender recognition (GR) and emotion recognition (ER) from psychophysical behavior. Specifically, the examined cues are acquired via low-cost, off-the-shelf sensors. 28 users (14 male) recognized emotions from unoccluded (no mask) and partially occluded (eye or mouth masked) emotive faces; their EEG responses contained gender-specific differences, while their eye movements were characteristic of the perceived facial emotions. Experimental results reveal that (a) reliable GR and ER is achievable with EEG and eye features, (b) differential cognitive processing of negative emotions is observed for females and (c) eye gaze-based gender differences manifest under partial face occlusion, as typified by the eye and mouth mask conditions.

中文翻译：

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来自隐式用户行为信号的性别和情感识别

这项工作探索了内隐行为线索的效用，即脑电图 (EEG) 信号和眼球运动对来自心理物理行为的性别识别 (GR) 和情绪识别 (ER) 的影响。具体来说，检查的线索是通过低成本、现成的传感器获取的。28 名用户（14 名男性）从未遮挡（没有面具）和部分遮挡（眼睛或嘴巴被遮盖）的情绪面孔中识别出情绪；他们的脑电图反应包含性别差异，而他们的眼球运动是感知到的面部情绪的特征。实验结果表明，(a) 可靠的 GR 和 ER 可通过 EEG 和眼睛特征实现，(b) 观察到女性对负面情绪的差异认知处理，以及 (c) 在部分面部遮挡下出现基于眼睛注视的性别差异，