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Human-Computer Interaction: April 2009

http://alpcan-hci.blogspot.com/2009_04_01_archive.html

Thursday, April 16, 2009. Skipping Spare Information in Multimodal Inputs during Multimodal Input Fusion. By Sun, Y., Shi, Y., Chen, F. and Chung, V. By Sun, Y., Shi, Y., Chen, F. and Chung, V. Skipping Spare Information in Multimodal Inputs during Multimodal Input Fusion. In IUI '09: Proceedings of the Intelligent User Interfaces Conference,. Sanibel Islands, Florida, USA, 2009. A Multimodal Interface for Road Design. By Blessing, A., Sezgin, T. M., Arandjelovic, R. and Robinson, P. After dealing with m...

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Human-Computer Interaction: Specifying Gestures by Example

http://alpcan-hci.blogspot.com/2009/02/specifying-gestures-by-example.html

Wednesday, February 25, 2009. Specifying Gestures by Example. By Rubine, D. Rubine's article is based on an application framework called Gesture Recognizers Automated in a Novel Direct Manipulation Architecture, GRANDMA for short, for creating and manipulating recognizers from examples. After explaining the need for such a framework as being able to create "small, fast and accurate recognizers", Rubine goes on and describes various aspects of GRANDMA in an example GDP, a gesture based drawing program.

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Human-Computer Interaction: Sketched Symbol Recognition using Zernike Moments

http://alpcan-hci.blogspot.com/2009/02/sketched-symbol-recognition-using.html

Wednesday, February 25, 2009. Sketched Symbol Recognition using Zernike Moments. By Hse, H. and Newton, A. R. Zernike moments are rotation and reflection invariant, thus qualifying to be effective for symbol recognition. The author proposes a method where the evaluation of Zernike moment features is done with three classification methods: Support Vector Machines (SVM), Minimum Mean Distance (MMD), and Nearest Neighbor (NN). In giving experimental results, two methods have been proposed. In the user indep...

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Human-Computer Interaction: February 2009

http://alpcan-hci.blogspot.com/2009_02_01_archive.html

Wednesday, February 25, 2009. HMM-Based Efficient Sketch Recognition. Sezgin, T. M. and Davis, R. At the beginning of his article. Sezgin gives the intention of the paper as proposing a novel approach to sketch recognition by taking into account the incremental and interactive nature of it. The incremental nature comes about the fact that every stroke is drawn one by one and interactive, since there is a two-way communication between the user and the computer. In designing with variable length training d...

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Human-Computer Interaction: Sketch Based Interfaces: Early Processing for Sketch Understanding

http://alpcan-hci.blogspot.com/2009/02/sketch-based-interfaces-early.html

Wednesday, February 25, 2009. Sketch Based Interfaces: Early Processing for Sketch Understanding. By Sezgin, T. M., Stahovich, T. and Davis, R. Their proposed system has three stages: approximation, beautification and simple recognition. During approximation, Sezgin deals with the conversion by handling vertices in line segments of the stroke and curved segments separately. They work on the intuition that while drawing, people tend to slow down at corners. Sezgin identifies the future work as including s...

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Human-Computer Interaction: Skipping Spare Information in Multimodal Inputs during Multimodal Input Fusion

http://alpcan-hci.blogspot.com/2009/04/skipping-spare-information-in.html

Thursday, April 16, 2009. Skipping Spare Information in Multimodal Inputs during Multimodal Input Fusion. By Sun, Y., Shi, Y., Chen, F. and Chung, V. By Sun, Y., Shi, Y., Chen, F. and Chung, V. Skipping Spare Information in Multimodal Inputs during Multimodal Input Fusion. In IUI '09: Proceedings of the Intelligent User Interfaces Conference,. Sanibel Islands, Florida, USA, 2009. Subscribe to: Post Comments (Atom). Skipping Spare Information in Multimodal Inputs du. A Multimodal Interface for Road Design.

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Human-Computer Interaction: HMM-Based Efficient Sketch Recognition

http://alpcan-hci.blogspot.com/2009/02/hmmbased-efficient-sketch-recognition.html

Wednesday, February 25, 2009. HMM-Based Efficient Sketch Recognition. Sezgin, T. M. and Davis, R. At the beginning of his article. Sezgin gives the intention of the paper as proposing a novel approach to sketch recognition by taking into account the incremental and interactive nature of it. The incremental nature comes about the fact that every stroke is drawn one by one and interactive, since there is a two-way communication between the user and the computer. In designing with variable length training d...