Perception of Human Motion With Different Geometric Models
IEEE Transactions on Visualization and Computer Graphics
A first evaluation study of a database of kinetic facial expressions (DaFEx)
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Combining Facial and Postural Expressions of Emotions in a Virtual Character
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Movements and voices affect perceived sex of virtual conversers
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
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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.