Evolutionary Fuzzy Integral-Based Gaze Control With Preference of Human Gaze

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Research on developing human-like gaze control has been carried out to enhance human-robot interaction. From the viewpoint of a large consistency of human gaze, conventional research had focused on predicting where humans usually pay attention to. However, gaze control is a cognitive process that can even produce different scanpaths from the same visual information. In this paper, an evolutionary fuzzy integral-based gaze control algorithm with preference is proposed. It produces various scanpaths according to the preference of human gaze. The proposed gaze control algorithm evaluates each pixel point with fuzzy measures and fuzzy integral, and produces a scanpath through repeated selections considering memory and bio-inspired processes. The produced scanpath is transformed into a fixation map and compared with a scanpath obtained from a human subject by the earth mover's distance. Based on the comparison, quantum-inspired evolutionary algorithm gradually develops preference of human gaze to produce a scanpath similar to the human scanpath. The effectiveness of the proposed algorithm is demonstrated by comparing a human scanpath with a scanpath produced from the algorithm using the developed preference. The applicability of the proposed algorithm is also demonstrated by applying the developed preference to gaze control for learning from demonstration.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2016-09
Language
English
Article Type
Article
Keywords

ROBOTIC HEAD; FIXATIONS; SALIENCY; SHIFTS; INFORMATION; ATTENTION; REGIONS

Citation

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, v.8, no.3, pp.186 - 200

ISSN
2379-8920
DOI
10.1109/TCDS.2016.2558516
URI
http://hdl.handle.net/10203/214469
Appears in Collection
EE-Journal Papers(저널논문)
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