Special Session on Neural Models for Behavior Recognition

The competition is held jointly with the Special Session on Neural Models for Behavior Recognition at the WCCI/IJCNN 2018. The aim of the special session is to gather a community to discuss human behavior analysis with emphasis on longer contextual information processing, moving forward to a real-world application of intelligent systems. We expect to provide a platform for discussion for students, starting and senior researchers from computer science, psychology, and neuroscience.

Categorizing and, to a certain degree, understanding human behavior is an important skill for autonomous systems. A robot able to identify whether a person needs help, an autonomous car to perceive whether a pedestrian is crossing the road, and a surveillance camera to localize someone in danger need a robust and reliable human behavior understanding. Although many different solutions have appeared in the past years, most of them do not take longer contextual information into consideration, usually only relying on instantaneous or short-context scenarios which limits the applicability of such systems in a real-world scenario. The potential of having neural models that take into consideration contextual information is substantial and would be beneficial for this field.

To have a system which is capable of learning, understanding and generalizing human behavior within a longer contextual scene is a challenging task. With recent neural computing technologies, such as training and understanding deep neural networks, life-long learning and unsupervised approaches, to name a few, we believe that autonomous systems which are capable of learning from long-context human behavior are feasible. This kind of processing would provide contextual information which would be beneficial to understanding and acting in real-world scenarios.

The special session invites submissions in any of the following areas: - Gesture processing, recognition and/or generation
- Models for emotional behavior analysis and/or understanding
- Personality trait analysis and/ generation
- Action recognition and/or generation
- Crossmodal human behavior learning
- Temporal architectures for human behavior learning
- Emotional feedback and modulation in decision-making processes
- Life-long learning for human behavior processing

The paper should be submitted following the WCCI 2018 guide in submission section in the WCCI 2018 web page.

In conjunction with IEEE World Congress in Computational Intelligence - WCCI 2018