Susumu Seki

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7ranked-venue papers

0as first author

0since 2021 · last 2003

0000-0002-1635-2401ORCID · corroborated

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

Artificial intelligence and machine learning · 5Graphics, computer vision, multimedia, augmented reality and games · 4Human-computer interaction and ubiquitous computing · 2

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

Haptics and multimodal interaction · 50% Human-robot interaction · 25% User interface design and tools · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
User interface design and tools › interface models dialogue model	1	1999	Multimodal Agent Interface Based on Dynamical Dialogue Model · ACM Symposium on User Interface Software and Technology 1999
Human-robot interaction › robot communication multimodal dialogue	1	1999	Multimodal Agent Interface Based on Dynamical Dialogue Model · ACM Symposium on User Interface Software and Technology 1999
Haptics and multimodal interaction multimodal interaction	1	1999	Multimodal Agent Interface Based on Dynamical Dialogue Model · ACM Symposium on User Interface Software and Technology 1999
Haptics and multimodal interaction › multimodal interaction speech and gesture interaction	1	1999	Multimodal Agent Interface Based on Dynamical Dialogue Model · ACM Symposium on User Interface Software and Technology 1999

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

dialogue modeling · 0.0

Year	Publication	Venue	Position
2003	Toward the Human Communication Efficiency Monitoring from Captured Audio and Video Media in Real Environments Tomasz M. Rutkowski, Susumu Seki, Yoko Yamakata, Koh Kakusho, Michihiko Minoh	KES	2
2000	Turn taking and multimodal information in two-people dialog Keiko Watanuki, Susumu Seki, Hideo Miyoshi	INTERSPEECH	2
1999	Multimodal Agent Interface Based on Dynamical Dialogue Model abstract In this paper, we describe a multimodal interface prototype system based on Dynamical Dialogue Model. This system not only integrates information of speech and gestures, but also controls the response timing in order to realize a smooth interaction between user and computer. Our approach consists of human-human dialogue analysis, and computational modeling of dialogue. Toshiro Mukai, Susumu Seki, Masayuki Nakazawa, Keiko Watanuki, Hideo Miyoshi	ACM Symposium on User Interface Software and Technology	2
1997	A Response Model for a CG Character Based on Timing of Interactions in a Multimodal Human Interface abstract In this paper, we propose a response model for a multimodal human interface, by inserting listener responses particular times by detecting keywords from the user’s utterances and controlling the face direction of a humanlike Computer Graphics (CG) character according to the direction of the user’s attention which is determined by tracing user’s face. Then we integrated the response model into a prototype system, and evaluated its efficiency. Kenji Sakamoto, Haruo Hinode, Keiko Watanuki, Susumu Seki, Jiro Kiyama, Fumio Togawa	IUI	4
1996	A Proposal of Pattern Space Trajectory for Gesture Spotting Recognition abstract We propose a new appearance-based feature for real-time gesture recognition from motion images. The feature is the shape of the trajectory caused by human gestures, in the "Pattern Space" defined by the inner-product between patterns on frame images. It has three advantages, 1) it is invariant in term of the target human's position, size and lie, 2) it allows gesture recognition without interpreting frame image contents and 3) there is no costly statistical calculation involved. In this paper, we describe the properties of the gesture trajectory feature, and some experimental results in order to show its applicability to gesture recognition. Shigeki Nagaya, Susumu Seki	BMVC	2
1996	A Theoretical Consideration of Pattern Space Trajectory for Gesture Spotting Recognition abstract We propose a new appearance-based feature for real-time gesture recognition from motion images. The feature is the shape of the trajectory caused by gesture, in pattern space defined by inner-product between patterns on frame images. It has three merits, (1) invariant for the target human man's position, size and lie, (2) gesture recognition without interpreting frame image contents, (3) no costly statistical calculation. And it gives us a theoretical guarantee about the effectiveness of several time-sequence matching methods using shapes in the eigenspace or results of position tracking. In this paper, we describe the properties of the gesture trajectory feature, and some experimental results in order to show its applicability to gesture recognition with a theoretical consideration. Shigeki Nagaya, Susumu Seki	FG	3
1996	A proposal for a new algorithm of reference interval-free continuous DP for real-time speech or text retrieval Yoshiaki Itoh 0001, Jiro Kiyama, Hiroshi Kojima, Susumu Seki	ICSLP	4