Howdy!
In this blog post, I am going to write a brief summary of the above mentioned paper and my opinion on it.
The authors intend to recognize a user's intention in making a gesture and using that information in the gesture- recognition process. They present a new low- level recognition and beautification system to recognize eight primitive shapes: Line, Polyline, Circle, Ellipse, Arc, Curve, Spiral and Helix. The authors also introduce two new features: Normalized Distance Between Direction Extremes (NDDR) and Direction Change Ratio (DCR).
NDDR is the ratio of the length of the stroke between the point with the highest direction value on the direction graph and the point with the lowest direction value and the total length of the stroke. DCR is the ratio of the maximum change in direction divided by the average change in direction. NDDR is high for curved shapes such as arcs while it is low for shapes like polylines. DCR values are high for polylines than for curves.
Figure 1
To recognize the stroke, it is passed through a pre- recognition stage, tested for each primitive shape, converted to a beautified version and then passed through a hierarchy stage where each interpretation is ranked. The algorithm to rank different interpretations is a very important contribution of this paper.
Figure 2
The results indicate that this new algorithm to recognize gestures is very effective.
I find the ideas presented in this paper very interesting. The different interpretations ranking is a very useful feature which can be used by a higher- level recognition system to use context to determine which ranked version is the best fit.
I used the following sources for this blog post:
[1] Proceeding IUI '08
Proceedings of the 13th international conference on Intelligent user
interfaces. Pages 1-10. ACM New York, NY, USA ©2008
Thanks for reading my blog! Have a great and blessed day!
Gig'em!!!
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