Towards Affect Recognition through Interactions with Learning Materials

Within the frame of H2020 MaTHiSiS EU project, the paper titled "Towards Affect Recognition through Interactions with Learning Materials" by E. Ghaleb, E. Hortal, M. Popa, S. Asteriadis, G. Weiss, has been accepted as a regular paper for oral presentation at  the 17th IEEE International Conference on Machine Learning and Applications (ICMLA’18). The conference will take place in Orlando, Florida, 17-20 December, 2018.

 

 

Adaptive learning based on affect sensing

The paper titled as “Adaptive learning based on affect sensing” (D. Tsatsou, A. Pomazanskyi, E. Hortal, E. Spyrou, H. Leligou, S. Asteriadis, N. Vretos, P. Daras) has been accepted at the International Conference on Artificial Intelligence in Education, which will take place in London, UK from 27 to 30 August 2018

Exploiting IoT Technologies for Personalized Learning

The paper titled as “Exploiting IoT Technologies for Personalized Learning” (E. Spyrou, N. Vretos, A. Pomazanskyi, S. Asteriadis, H. Leligou) has been accepted at the Computational Intelligence and Games (CIG), which will take place in Maastricht, The Netherlands from 14 to 17 August 2018.

High-performance and Lightweight Real-time Deep Face Emotion Recognition

The paper titled “ High-performance and Lightweight Real-time Deep Face Emotion Recognition ” (co-authored by Justus Schwan, Esam Ghaleb, Enrique Hortal and Stylianos Asteriadis) has been accepted for publication at the SMAP2017 – 12th International Workshop on Semantic and Social Media Adaptation and Personalization. This paper will be included as part of the Special Session on Multimodal affective analysis for human-machine interfaces and learning environments.

Personalized, affect and performance-driven Computer-based Learning

Co-authored by C. Athanasiadis, C.Z. Lens, D. Koutsoukos, E. Hortal and S. Asteriadis, the paper entitled "Personalized, affect and performance-driven Computer-based Learning" has been accepted for the 9th International Conference on Computer Supported Education (CSEDU 2017), which will take place in Porto (Portugal) from the 21st to the 23rd of April, 2017.

Recognizing Emotional States using Speech Information

Emotion recognition plays an important role in several applications, such as human computer interaction and understanding afective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc. It may be based upon several modalities, e.g., by analyzing facial expressions and/or speech, using electroencephalograms, electrocardiograms etc. In certain applications the only available modality is the user's (speaker's) voice.