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We present recent results showing that human epidermal ridges (ngerprints) could  play a central role in ne texture discrimination tasks by spatially modulating  the contact stress eld between the ngertip and the substrate. Using an  original biomimetic nger whose surface is patterned with parallel ridges, we  demonstrate that the subsurface stress signals elicited by continuous rubbing of  randomly textured substrates is dominated by uctuations at a frequency dened  by the inter-ridge distance divided by the rubbing velocity. In natural  exploratory conditions, this frequency matches the best frequency of one type of  mechanoreceptors, namely the Pacinian corpuscles, which are specically involved  in the tactile coding of ne textures. The use of white-noise patterned stimuli  has alloowed us to extract, using a reverse-correlation analysis, the  stimulus-signal response function associated with roughness modality. Its shape  could provides spectral, spatial and directional selectivity to the digital  tactile system. It oers a physiological basis for the recently proposed  hypothesis of a dual-coding (spatio-temporal and vibratory) of tactile  information

A MEMS-based tactile sensor to study human digital touch: mechanical transduction of the tactile information and role of ﬁngerprints