Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues
August 29, 2017 Β· Declared Dead Β· π Affective Computing and Intelligent Interaction
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Authors
Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua, Ramanathan Subramanian
arXiv ID
1708.08729
Category
cs.HC: Human-Computer Interaction
Citations
13
Venue
Affective Computing and Intelligent Interaction
Last Checked
4 months ago
Abstract
We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the examined cues are acquired via low-cost, off-the-shelf sensors. We asked 28 viewers (14 female) to recognize emotions from unoccluded (no mask) as well as partially occluded (eye and mouth masked) emotive faces. Obtained experimental results reveal that (a) reliable GR and ER is achievable with EEG and eye features, (b) differential cognitive processing especially for negative emotions is observed for males and females and (c) some of these cognitive differences manifest under partial face occlusion, as typified by the eye and mouth mask conditions.
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