2004年
Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16
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- 巻
- 16
- 号
- 開始ページ
- 1563
- 終了ページ
- 1570
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- M I T PRESS
Computer animated agents and robots bring a social dimension to human computer interaction and force us to think in new ways about how computers could be used in daily life. Face to face communication is a real-time process operating at a time scale of less than a second. In this paper we present progress on a perceptual primitive to automatically detect frontal faces in the video stream and code them with respect to 7 dimensions in real time: neutral, anger, disgust, fear, joy, sadness, surprise. The face finder employs a cascade of feature detectors trained with boosting techniques [13, 2]. The expression recognizer employs a combination of AdaBoost and SVM's. The generalization performance to new subjects for a 7-way forced choice was over 90% correct on two publicly available datasets. The outputs of the classifier change smoothly as a function of time, providing a potentially valuable representation to code facial expression dynamics in a fully automatic and unobtrusive manner. The system was deployed and evaluated for measuring spontaneous facial expressions in the field in an application for automatic assessment of human-robot interaction.
- リンク情報
- ID情報
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- ISSN : 1049-5258
- SCOPUS ID : 84899017445
- Web of Science ID : WOS:000225309500194