Memorias de investigación
Communications at congresses:
Multimodal Multimodel Emotion Analysis as Linked Data
Year:2017

Research Areas
  • Engineering

Information
Abstract
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.
International
Si
Congress
Emotion and Sentiment in Social and Expressive Media: User Engagement and Interaction
960
Place
Tejas, USA
Reviewers
Si
ISBN/ISSN
978-1-5386-0680-3
10.1109/ACIIW.2017.8272599
Start Date
23/10/2017
End Date
26/10/2017
From page
111
To page
116
2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos