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Jun Taguri

dblp:85/6910 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › emotion expression
robot facial expression
0.012002
Facial Expression of Robot Face for Human-Robot Mutual Communication · ICRA 2002
Human-robot interaction › robot perception
robot vision
0.012002
Facial Expression of Robot Face for Human-Robot Mutual Communication · ICRA 2002

Methods — techniques the papers use, named apart from their topics

facial action coding system · 0.0
YearPublicationVenuePosition
2002 Facial Expression of Robot Face for Human-Robot Mutual Communication
abstract
This paper explores a human-robot mutual communication system, which human users can either communicate with or use as an information terminal. In particular, we propose the deformation based facial expression system. We also propose a robotic vision system, which changes its visual attention according to the environment. Firstly, the system must have advanced abilities to express their intention by means of making facial expressions, gestures, or speech. Above all, facial expression. Reconsidering the facial action coding system and action unit from the point of what expression of the robot human recognize easily. We propose the deformation based expression system. Secondly, to realize fluent communication between human and robots, we propose a robot vision system changing its gazing communication according to the environment and situation based on visual recognition. We developed an original character robot (CR) and evaluated the proposed methods. Consequently, it was shown that human-robot mutual communication is achievable.
Toshio Fukuda, Jun Taguri, Fumihito Arai, Masakazu Nakashima, Daisuke Tachibana, Yasuhisa Hasegawa
ICRA2