Texture Recognition: Evaluating Force, Vibrotactile and Real Feedback
Abstract
A force-feedback Phantom device, a custom-built vibrotactile dataglove, and embossed paper sheets are compared to detect different textures. Two types of patterns are used, one formed by different geometrical shapes, and the other with different grooves width. Evaluation shows that the vibrotactile dataglove performs better in the detection of textures where the frequency of tactile stimuli varies, and it is even useful to detect more complex textures.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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