Action, Gesture and Spoken Command Recognition in Human-Robot Interaction
KEC 1003 Mon, 02/22/2016 - 4:00pm Petros Maragos Professor, School of E.C.E., National Technical University of Athens Abstract: In this talk we will present some advances from our research in the EU project MOBOT which generally aims at the development of an intelligent active mobility assistance robot. We will focus on one of its main goals: to provide multimodal sensory processing capabilities for human action recognition. Specifically, a reliable multimodal information processing and action recognition system needs to be developed, that will detect, analyze and recognize the human user actions based on the captured multimodal sensory signals and with a reasonable level of accuracy and detail for intelligent assistive robotics. One of the main thrusts in the above effort is the development of robust and effective computer vision techniques to achieve the visual processing goals based on multiple cues such as spatiotemporal RGB appearance data as well as depth data from Kinect sensors. Another major challenge is the integration of recognizing specific verbal and gestural commands in the considered human-robot interaction context. In this presentation we summarize advancements in three tasks of the above multimodal processing system for human-robot interaction (HRI): action recognition, gesture recognition and spoken command recognition. Our multi-sensor spoken command recognition system has been developed in the framework of the EU project DIRHA. More information, related papers and current results can be found in http://cvsp.cs.ntua.gr and http://robotics.ntua.gr. Bio: URL: http://eecs.oregonstate.edu/colloquium/action-gesture-and-spoken-command-recognition-human-robot-interaction _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium
