  The tactile sensation of textiles is critical in determining the comfort of
clothing. For remote use, such as online shopping, users cannot physically
touch the textile of clothes, making it difficult to evaluate its tactile
sensation. Tactile sensing and actuation devices are required to transmit the
tactile sensation of textiles. The sensing device needs to recognize different
garments, even with hand-held sensors. In addition, the existing actuation
device can only present a limited number of known patterns and cannot transmit
unknown tactile sensations of textiles. To address these issues, we propose
Telextiles, an interface that can remotely transmit tactile sensations of
textiles by creating a latent space that reflects the proximity of textiles
through contrastive self-supervised learning. We confirm that textiles with
similar tactile features are located close to each other in the latent space
through a two-dimensional plot. We then compress the latent features for known
textile samples into the 1D distance and apply the 16 textile samples to the
rollers in the order of the distance. The roller is rotated to select the
textile with the closest feature if an unknown textile is detected.
