Brainy hand

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Brainy hand: an ear-worn hand gesture interaction device

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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Spotlight on work in progress session 2 table of contents

Pages 4255-4260

Year of Publication: 2009

ISBN:978-1-60558-247-4

Authors

Emi Tamaki	Graduate School of Interdisciplinary Information Studies, The University of Tokyo., Tokyo, Japan
Takashi Miyaki	Interfaculty Initiative in Information Studies, The University of Tokyo., Tokyo, Japan
Jun Rekimoto	Interfaculty Initiative in Information Studies, The University of Tokyo., Tokyo, Japan

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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ABSTRACT

Existing wearable hand gesture interaction devices are very bulky and cannot be worn in everyday life, because of the presence of a large visual feedback device. In particular, an eyeglass-type head-mounted display is very large for constant usage. To solve this problem, we propose Brainy Hand, which is a simple wearable device that adopts laser line, or more specifically, a mini-projector as a visual feedback device. Brainy Hand consists of a color camera, an earphone, and a laser line or mini-projector. This device uses a camera to detect 3D hand gestures. The earphone is used for receiving audio feedback. In this study, we introduce several user interfaces using Brainy Hand. (e.g., music player, phone)

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	2	Ross Smith , Wayne Piekarski , Grant Wigley, Hand tracking for low powered mobile AR user interfaces, Proceedings of the Sixth Australasian conference on User interface, p.7-16, January 30-February 03, 2005, Newcastle, Australia
	3	Takeshi Kurata, Takekazu Kato, Masakatsu Kourogi, Jung Keechul, and Ken Endo: A Functionally-Distributed Hand Tracking Method for Wearable Visual Interfaces and Its Applications, In IAPR Workshop on Machine Vision Applications (MVA2002), (2002), 84--89.
	4	N.Otsu, and T.Kurita: A New Scheme for Practical, Flexible and Intelligent Vision Systems. Proc. IAPR Workshop on Computer Vision, (1988), 431--435.
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