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On the usability of gesture interfaces in virtual reality environments
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Source CLIHC; Vol. 124 archive
Proceedings of the 2005 Latin American conference on Human-computer interaction table of contents
Cuernavaca, Mexico
Pages: 100 - 108  
Year of Publication: 2005
ISBN:1-59593-224-0
Authors
Marcio C. Cabral  University of São Paulo, São Paulo - Brazil
Carlos H. Morimoto  University of São Paulo, São Paulo - Brazil
Marcelo K. Zuffo  University of São Paulo, Gualberto, São Paulo - Brazil
Sponsors
: SIG-CHI Brazil
: ITESM Cuernavaca
: Pullman de Morelos
Microsoft Research : Microsoft Research
: SMCC
: Tecnologia Virtual
: SIG-CHI Mexico
: Create-Net
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper discusses several usability issues related to the use of gestures as an input mode in multimodal interfaces. The use of gestures has been suggested before as a natural solution for applications that require hands-free and notouch interaction with computers, such as in virtual reality (VR) environments. We introduce a simple but robust 2D computer vision based gesture recognition system that was successfully used for interaction in VR environments such as CAVEs and Powerwalls. This interface was tested under 3 different scenarios, as a regular pointing device in a GUI interface, as a navigation tool, and as a visualization tool. Our experiments show that the time to completion of simple pointing tasks is considerably slower when compared to a mouse and that its use during even short periods of time causes fatigue. Despite, these drawbacks, the use of gestures as an alternative mode in multimodal interfaces offers several advantages, such as quick access to computing resources that might be embedded in the environment, using a natural and intuitive way, and that scales nicely to group and collaborative applications, where gestures can be used sporadically.


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.

 
1
M. C. Cabral. Interface baseada em gestos para ambientes de realidade virtual usando visão computacional. Master's thesis, Departamento de Ciência da Computação, Universidade de São Paulo, 2005.
 
2
J. Cassell. A framework for gesture generation and interpretation. In R. Cipolla and A. Pentland, editors, Computer Vision in Human-Machine Interaction, New York: Cambridge University Press, 1998.
 
3
G. Cheung, S. Baker, and T. Kanade. Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture. CVPR, 2003.
4
 
5
P. M. Fitts. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology: Human Perception and Performance, 47, 1954.
 
6
W. T. Freeman and C. D. Weissman. Television control by hand gestures. In Proc. of the Int. Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland, June 1995.
 
7
 
8
 
9
Point Grey Research Inc. Dragon fly firewire camera specifications - http://www.ptgrey.com/products/dragonfly/specifications.html.
10
 
11
R. Kehl and L. V. Gool. Real-time pointing gesture recognition for an immersive environment. IEEE Intl. Conference on Automatic Face and Gesture Recognition, 2004.
 
12
 
13
D. Lemmerman, A. Forsberg, L. Monroe, K. Chartrand, B. Greene, D. Modl, and J. Olivares. Towards human-centered user interfaces in an immersive context. Proc. IEEE VR 2004 - Beyond Wand and Glove Based Interaction, 2004.
 
14
C. Leubner, C. Brockmann, and H. Muller. Computer-vision-based human-computer interaction with a back projection wall using arm gestures. Euromicro Conference, 2001.
15
 
16
 
17
 
18
 
19
M. Nielsen, T. Moeslund, M. Störring, and E. Granum. A procedure for developing intuitive and ergonomic gesture interfaces for human computer interaction. In Proc. of the 5th Internation Gesture Workshop, GW 2003, Genova, Italy, April 2003.
 
20
T. Starner and A. Pentland. Visual recognition of american sigh language using hidden markov models. IEEE Int. Symp. on Computer Vision, 1995.
 
21
N. Streitz, P. Tandler, C. Mller-Tomfelde, and S. Konomi. Roomware: Towards the next generation of human-computer interaction based on an integrated design of real and virtual worlds. In J. Carroll, editor, Human-Computer Interaction in the New Millenium. Addison-Wesley, 2001.
 
22
 
23
J. Zuffo and M. K. Zuffo. Caverna digital - sistema de multiprojeção estereoscopico baseado em aglomerados de pcs para aplicações imersivas em realidade virtual. In 4th SBC Simposio de Realidade Virtual. Sociedade Brasileira de Computação, Outubro 2001.


Collaborative Colleagues:
Marcio C. Cabral: colleagues
Carlos H. Morimoto: colleagues
Marcelo K. Zuffo: colleagues