Extended Data Fig. 10: Surface texture classification results using EPSC values recorded during mechanical stimulation. | Nature Materials

Extended Data Fig. 10: Surface texture classification results using EPSC values recorded during mechanical stimulation.

From: Bio-inspired artificial mechanoreceptors with built-in synaptic functions for intelligent tactile skin

Extended Data Fig. 10

a-c, Confusion matrices illustrating the highest surface texture classification accuracy using features from (a) FA, (b) SA ASMRs, and (c) multimodal fusion of SA and FA (SA/FA) features for 16 texture categories (that is, 1: Cotton 100%, 2: polyester 100%, 3: rayon 100%, 4: nylon 100%, 5: acetate 100%, 6: cotton 65%-polyester 35%, 7: polyester 85%-spandex 15%, 8: cotton 52%-nylon 48%, 9: polyester 56%-rayon 44%, 10: nylon 54%-rayon 46%, 11: cashmere 100%, 12: linen 100%, 13: cowhide 100%, 14: skin, 15: nitrile 100%, and 16: Al foil). d, Average classification accuracy for different surface textures using EPSC signals from FA, SA, and SA/FA fused responses recorded during the initial 20 s of mechanical stimulation. Dot plots display data distribution, with error bars indicating the standard deviation (n = 5).

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