NDLI: Modeling naturalistic affective states via facial and vocal expressions recognition

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Modeling naturalistic affective states via facial and vocal expressions recognition

Content Provider	ACM Digital Library
Author	Caridakis, George Malatesta, Lori Amir, Noam Kessous, Loic Karpouzis, Kostas Raouzaiou, Amaryllis
Abstract	Affective and human-centered computing are two areas related to HCI which have attracted attention during the past years. One of the reasons that this may be attributed to, is the plethora of devices able to record and process multimodal input from the part of the users and adapt their functionality to their preferences or individual habits, thus enhancing usability and becoming attractive to users less accustomed with conventional interfaces. In the quest to receive feedback from the users in an unobtrusive manner, the visual and auditory modalities allow us to infer the users' emotional state, combining information both from facial expression recognition and speech prosody feature extraction. In this paper, we describe a multi-cue, dynamic approach in naturalistic video sequences. Contrary to strictly controlled recording conditions of audiovisual material, the current research focuses on sequences taken from nearly real world situations. Recognition is performed via a 'Simple Recurrent Network' which lends itself well to modeling dynamic events in both user's facial expressions and speech. Moreover this approach differs from existing work in that it models user expressivity using a dimensional representation of activation and valence, instead of detecting the usual 'universal emotions' which are scarce in everyday human-machine interaction. The algorithm is deployed on an audiovisual database which was recorded simulating human-human discourse and, therefore, contains less extreme expressivity and subtle variations of a number of emotion labels.
Starting Page	146
Ending Page	154
Page Count	9
File Format	PDF
ISBN	159593541X
DOI	10.1145/1180995.1181029
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Facial expression recognition Affective interaction Image processing Naturalistic data Multimodal analysis User modeling Prosodic feature extraction
Content Type	Text
Resource Type	Article

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