Multi-human spatial social pattern understanding for a multi-modal robot through nonverbal social signals.
Journal
IEEE RO-MAN 2014 - 23rd IEEE International Symposium on Robot and Human Interactive Communication: Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life, Therapy, Assistance and Socially Engaging Interactions
Pages
531-536
Date Issued
2014
Author(s)
Abstract
For service robots to be able to enter a multi-human office environment, it is important to find a group of human users' social patterns and then to provide a proper service to them in time. Usually, human users' social patterns are represented in terms of nonverbal social signals. In this paper, a new integrated approach on recognizing multi-human social signals is proposed. Specifically, the nonverbal social signals are detected by a laser range finder and a RGB-D camera and are processed to find the multi-human (spatial) social patterns. Those recognized patterns are then applied to human-to-human, human-to-robot or multi-human-to-robot interactive formation. Experimental results shows that our robot successfully recognizes the aforementioned users' social patterns followed by appropriate services. © 2014 IEEE.
Event(s)
23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014
Other Subjects
Agricultural robots; Range finders; Robots; Integrated approach; Laser range finders; Multi-modal; Office environments; Rgb-d cameras; Service robots; Social patterns; Social signals; Social robots; Human robot interaction
Type
conference paper