You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: Teesside University » Outputs » Detail

Output details

11 - Computer Science and Informatics

Teesside University

Return to search Previous output Next output

Output 12 of 43 in the submission

Output title

Evaluating multimodal affective fusion using physiological signals

Type

E - Conference contribution

DOI

10.1145/1943403.1943413

Name of conference/published proceedings

Proceedings of the 16th International Conference on Intelligent User Interfaces

Volume number

Issue number

First page of article

ISSN of proceedings

Year of publication

2011

URL

http://dl.acm.org/citation.cfm?id=1943413

Number of additional authors

Additional information

<20> Multimodal aspects of affective signals have received little attention outside of improving recognition performance. In particular multimodal affective fusion is relatively unexplored. This paper demonstrates the effectiveness of an affective multimodal fusion method based around the PAD dimensional model of emotion. It is one of few systems to leverage the integrative power of a continuous dimensional model of emotion and to successfully evaluate temporal properties of affective fusion across interactive sessions. The described system was demonstrated at the ICT 2008 exhibition of EC-funded projects, attended by 4,500 delegates, and was featured on the Euronews coverage of the event.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract