With advances in pattern recognition and multimedia computing, it became possible to analyze human behavior via multimodal sensors, at different time-scales and at different levels of interaction and interpretation. This ability opens up enormous possibilities for multimedia and multimodal interaction, with a potential of endowing the computers with a capacity to attribute meaning to users' attitudes, preferences, personality, social relationships, etc., as well as to understand what people are doing, the activities they have been engaged in, their routines and lifestyles. Re-defining the relationship between the computer and the interacting human, moving the computer from a passive observer role to a socially active participant role and enabling it to drive different kinds of interaction has implications across multiple domains.
The HBU workshop aims to see where this change is taking us, and to inspect developments in areas where smarter computers that can sense human behavior have great potential to revolutionize the application domain. This workshop will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of complex social and relational behaviors, performance of individual or joint actions, etc.), with the focus topic of computer vision for complex social interactions. Concrete examples are vision-based and multimodal approaches to detect interactions in multimedia data, the integration of language and speech with vision for automatic annotation of interactions, classification of non-verbal signals, gestures and movements, to name a few.
The HBU Workshops, previously organized as satellite to ICPR, AMI, IROS and ACM Multimedia Conferences, have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform.
Hyun Soo Park
Carnegie Mellon University
5000 Forbes Ave., Pittsburgh, PA 15013
E-mail: huynsoop [at] cs.cmu.edu | Telephone: +1 412 992 6751
Albert Ali Salah
Dept. of Computer Engineering
34342 Bebek, Istanbul
E-mail: salah [at] boun.edu.tr | Telephone: +90-212-359 7774