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讲准字278号:Automatic Detection of Relevant Nonverbal Behaviors for Automatic Stress Recognition (IBM Research)

发布时间:2018-10-08|浏览次数:

题目:Automatic Detection of Relevant Nonverbal Behaviors for Automatic Stress Recognition (IBM Research)

主讲:Dr. David Gomez

时间:2018年10月17日 15:30

地点:机械学院七楼报告厅

主办:机械工程学院


主讲简介:Dr. David Gomez,法国ESTIA高等工程师学院副教授。研究专长:Computer Vision, Human-Computer Interaction, Affective Computing。Dr. David Gomez is an associate professor at ESTIA-Research (Bidart, France). He works in the field of Affective Computing with particular research interest in automatic stress recognition from facial expressions and body behaviors using computer vision algorithms.


主讲内容:Automatic Detection of Relevant Nonverbal Behaviors for Automatic Stress Recognition (IBM Research) In this conference, a research work for automatic stress recognition (in collaboration with IBM Research) will be presented. In this research work, a method is proposed for identifying relevant nonverbal features that allow the discrimination of psychological stress related affects and their nonverbal expression. Results suggest that relevant nonverbal behaviors can discriminate between different stressful tasks. In addition, relevant behaviors involving movement variability appear to be more correlated with personality factors. Possible applications of the findings of this research include more accurate stress recognition systems, automatic stress management systems and job interview trainings.


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