Texture recognition: evaluating force, vibrotactile and real feedback

Authors:
Jonatan Martínez;Arturo S. García;Diego Martínez;José P. Molina;Pascual González
Affiliations:
Universidad de Castilla-La Mancha;Symbia IT, Parque Científico y Tecnológico de Albacete, Albacete, Spain;Universidad de Castilla-La Mancha;Universidad de Castilla-La Mancha;Universidad de Castilla-La Mancha
Venue:
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Year:
2011

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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.