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Artificial Life and Robotics
Published in: Artificial Life and Robotics 4/2015

01-12-2015 | Original Article

A study on human interface system using the direction of eyes and face

Authors: Keiko Sakurai, Mingmin Yan, Kazuhiko Inami, Hiroki Tamura, Koichi Tanno

Published in: Artificial Life and Robotics | Issue 4/2015

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Abstract

Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients lacking correct limb and facial muscular responses. This paper presents the eye movement tracking system using cross-channel electrooculogram signals. In addition, we used Kinect sensor (RGB-D sensor) for face tracking. Thus, gaze estimation system can be established by both eye movement and face tracking. Simulation experiments were designed in order to confirm the effectiveness of the proposed system. As a result of simulation experiments, gaze position estimation is recognized under high accuracy in our system.
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Literature
1.
Venkataramanan S, Prabhat P, Choudhury SR, Nemade HB, Sahambi JS (2005) Biomedical instrumentation based on electrooculogram (EOG) signal processing and application to a hospital alarm system. In: Proceedings of the 2nd IEEE international conference on intelligent sensing and information processing (ICISIP’05), Chennai, pp 535–540
2.
Tamura H, Yan M, Miyashita M, Manabe T, Tanno K, Fuse Y (2013) Development of mouse cursor control system using DC and AC elements of electrooculogram signals and its applications. Int J Intell Comput Med Sci Image Process 5(1):3–15
3.
Yan M, Tamura H, Tanno K (2014) A study on gaze estimation system using cross-channels electrooculogram signals. In: The IMECS 2014 proceedings, vol 1, pp 112–116
4.
5.
Thomas JG (1969) The dynamics of small saccadic eye movements. J. Physiol 200:109–127CrossRef
Metadata
Title
A study on human interface system using the direction of eyes and face
Authors
Keiko Sakurai
Mingmin Yan
Kazuhiko Inami
Hiroki Tamura
Koichi Tanno
Publication date
01-12-2015
Publisher
Springer Japan
Published in
Artificial Life and Robotics / Issue 4/2015
Print ISSN: 1433-5298
Electronic ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-015-0228-7

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