NDLI: On Improving Visual-Facial Emotion Recognition with Audio-lingual and Keyboard Stroke Pattern Information

Content Provider	IEEE Xplore Digital Library
Author	Tsihrintzis, G.A. Virvou, M. Stathopoulou, I.-O. Alepis, E.
Copyright Year	2008
Description	Author affiliation: Dept. of Inf., Univ. of Piraeus, Piraeus (Tsihrintzis, G.A.; Virvou, M.; Stathopoulou, I.-O.; Alepis, E.)
Abstract	In this paper, we investigate the possibility of improving the accuracy of visual-facial emotion recognition through use of additional (complementary) information. The investigation is based on three empirical studies that we have conducted involving human subjects and human observers. The studies were concerned with the recognition of emotions from a visual-facial modality, audio-lingual and keyboard-stroke information, respectively. They were inspired by the relative shortage of such previous research in empirical work concerning the strengths and weaknesses of each modality so that the extent can be determined to which the keyboard-stroke and audio-lingual information complements and improves the emotion recognition accuracy of the visual-facial modality. Specifically, our research focused on the recognition of six basic emotion states, namely happiness, sadness, surprise, anger and disgust as well as the emotionless state which we refer to as neutral. We have found that the visual-facial modality may allow the recognition of certain states, such as neutral and surprise, with sufficient accuracy. However, its accuracy in recognizing anger and disgust can be improved significantly if assisted by keyboard-stroke information.
Starting Page	810
Ending Page	816
File Size	292452
Page Count	7
File Format	PDF
ISBN	9780769534961
DOI	10.1109/WIIAT.2008.282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Face recognition Instruments affective user modeling Psychology Face detection Facial expression analysis multi-modal interfaces Intelligent agent empirical studies Human computer interaction human-computer interaction Keyboards Speech visual-facial affect recognition Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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