TY - GEN
T1 - Multimodal multimodel emotion analysis as linked data
AU - Sánchez-Rada, J. Fernando
AU - Iglesias, Carlos A.
AU - Sagha, Hesam
AU - Schuller, Björn
AU - Wood, Ian
AU - Buitelaar, Paul
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor for multimodal analysis, since recognition services from different modalities (audio, video, text) tend to have different representation models (e. g., continuous vs. discrete emotions). This work presents a multi-disciplinary effort to alleviate this problem by formalizing conversion between emotion models. The specific contributions are: i) a semantic representation of emotion conversion; ii) an API proposal for services that perform automatic conversion; iii) a reference implementation of such a service; and iv) validation of the proposal through use cases that integrate different emotion models and service providers.
AB - The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor for multimodal analysis, since recognition services from different modalities (audio, video, text) tend to have different representation models (e. g., continuous vs. discrete emotions). This work presents a multi-disciplinary effort to alleviate this problem by formalizing conversion between emotion models. The specific contributions are: i) a semantic representation of emotion conversion; ii) an API proposal for services that perform automatic conversion; iii) a reference implementation of such a service; and iv) validation of the proposal through use cases that integrate different emotion models and service providers.
UR - https://www.scopus.com/pages/publications/85046731892
U2 - 10.1109/ACIIW.2017.8272599
DO - 10.1109/ACIIW.2017.8272599
M3 - Conference contribution
AN - SCOPUS:85046731892
T3 - 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017
SP - 111
EP - 116
BT - 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017
Y2 - 23 October 2017 through 26 October 2017
ER -