Deller, M., A. Ebert, et al. (2006). Flexible Gesture Recognition for Immersive Virtual Environments. Information Visualization, 2006. IV 2006. Tenth International Conference on.
Summary:
Deller et al.'s publication used hand-gestures with a P5 glove to control various aspects of a desktop environment. The glove will allow users to manipulate virtual objects in three dimensions.
The apparatus that the authors used is the P5 glove, which has 5 finger sensors and an infrared tracking system. The glove was used to create hand gestures, where a gesture is a hand position held for approximately half a sentence. Gestures are stored as sensor vector templates, and each new gesture is compared against the gesture library via a simple distance measurement.
The authors had users test the system.
Discussion:
The application of hand gestures is simple, such as the use of distance for gesture classification. Using a more complex classifier might improve their accuracy, but with only 5 sensors the gestures might be simple and different enough that a simple solution is necessary.
I hope that presenting some results, at least in user study form, is the norm for the remaining papers we read. I cannot really take anything from this paper since I'm not sure if anything works well. The methods are so simple that I can implement them quickly, but it would be nice to have a baseline to compare to.
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2 comments:
It's obnoxious not to see results. I can write a cool sounding paper if I don't have to actually implement or test anything.
Occam's razor - why make it more difficult (especially when you don't report your results)? If I didn't have to report my results I would just randomly pick a gesture for classification.
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