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Emotion Recognition in Images and Text

Agata Lapedriza Agata Lapedriza | Tenured Professor, UOC / Visiting Researcher, MIT Media Lab | UOC / MIT Media Lab

Over the past decade we have observed an increasing interest in developing technologies for automatic emotion recognition. The capacity of automatically recognizing emotions has many of applications in environments where machines need to interact and collaborate with humans. However, how can machines recognize emotions?

In this talk I will give a brief introduction to Affective Computing (also known as Emotional Artificial Intelligence), the discipline that studies and develops systems and devices that can recognize, interpret, process or simulate emotions or feelings. After this I will talk about some research projects related with Emotion Recognition. In particular I will focus the attention on emotion and sentiment recognition systems based on Computer Vision and Natural Language Processing using Deep Learning. Finally, I will talk about possible applications of emotion recognition technologies.

Agata Lapedriza
Agata Lapedriza
Tenured Professor, UOC / Visiting Researcher, MIT Media Lab | UOC / MIT Media Lab

Agata Lapedriza is a Professor at the Universitat Oberta de Catalunya. She received her MS degree in Mathematics at the Universitat de Barcelona and her Ph.D. degree in Computer Science at the Computer Vision Center, at the Universitat Autonoma Barcelona. She was working as a Visiting Researcher in the Computer Science and Artificial Intelligence Lab, at the Massachusetts Institute of Technology (MIT), from 2012 until 2015.

Currently she is also a Visiting Researcher at the Affective Computing Group at MIT Medialab, where she leads the project of Emotion Recognition in Context. At MIT, she also colallaborates in different projects related to Human-Robot Interaction and Machine Perception. Her research interests are related to Computer Vision (Image and Scene Understanding), Natural Language Processing, Emotional Artificial Intelligence, and Explainable AI. She is also interested in the applications of these topics to Emotional Wellbeing, Social Robotics, and Education.