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Emotion Recognition (EMORE)

03 July 2017 - 06 July 2017   Trieste, Italy (University of Trieste)

The aim of the international workshop EMORE,hosted at ICCSA 2014 ( is to present, discuss and ideate new emotion recognition techniques in any AI-related task, bringing together researchers and practitioners for stimulating cooperation and cross-fertilization between different communities focused on research, development and applications of emotion recognition. EMORE is a preliminar discussion forum for ACER (, and future events where the authors are also invited to submit novel researches on Affective Computing. Aiming at this collaboration path, EMORE also welcomes papers on ongoing projects and PhD showcases, as well as applications, data sets, novel techniques, and multimodal or interdiscipinar approaches to emotion recognition.

Deadline:  17 April 2017

Fuzz-IEEE 2017 [Special Session on Social Signal Processing]

09 July 2017 - 12 July 2017   Napoli (Italy)

The IEEE International Conference on Fuzzy Systems (Fuzz-IEEE) is the top leading conference in the field on theory and applications of Fuzzy Logic. This year, a Special Session focusing on the role of this kind of approaches to Social Signal Processing will be held. Areas of interest cover emotion recognition and synthesis, gestures and facial expression recognition and synthesis, social interaction analysis.

Deadline:  25 January 2017


20 August 2017 - 24 August 2017   Stockholm, Sweden

The Interspeech 2017 Computational Paralinguistics ChallengE (ComParE) is an open Challenge dealing with states and traits of speakers as manifested in their speech signal’s acoustic properties. There have so far been eight consecutive Challenges at INTERSPEECH since 2009, but there still exists a multiplicity of not yet covered, but highly relevant paralinguistic phenomena. Thus, we introduce three new tasks in this year’s edition.

Deadline:  14 March 2017

Affective Computing and Emotion Recognition (ACER@WI)

23 August 2017 - 26 August 2017   Leipzig, Germany (Leipzig University)

Affective computing became a key scenario for Artificial Intelligence. Various emotion-mining techniques can be exploited for creating and automating personalized interfaces or subcomponent technology for larger systems, i.e. in business intelligence, affective tutoring, recommender systems, social robots. Different from sentiment analysis, this approach works at a deeper level of abstraction, aiming to recognize specific emotions and not only the positive/negative sentiment, to extract, manage and predict emotions in limited sets, basing on well-accepted or novel models, thus to use them to be reported/classified or understood/elicited/expressed by a machine. The aim of the ACER workshop is to explore the Emotion Recognition area in depth, and to present, discuss and ideate novel affective computing and emotion recognition techniques in WI-related task, providing a cross-fertilized network of different communities focused on research, development and applications of emotion recognition.

Deadline:  01 May 2017

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