Telextiles：织物触觉的端到端远程传输
Telextiles: End-to-end Remote Transmission of Fabric Tactile Sensation
AI总结：
Telextiles 利用对比自监督学习构建织物触觉潜在空间，并通过一维距离排序与滚轮选择机制，实现未知织物触觉的远程端到端传输。
摘要：
织物的触觉对于判断服装的舒适性至关重要。在远程使用场景中，例如在线购物时，用户无法实际触摸服装的织物，因此难以评估其触觉。要传输织物的触觉，需要触觉传感与触觉执行设备。传感设备需要能够识别不同的服装，即使使用的是手持式传感器。此外，现有的执行设备只能呈现有限数量的已知模式，无法传输未知的织物触觉。为了解决这些问题，我们提出了 Telextiles，这是一种能够远程传输织物触觉的界面，其方法是通过对比自监督学习创建一个能够反映织物之间相似程度的潜在空间。我们通过二维图确认，具有相似触觉特征的织物在潜在空间中彼此靠近。随后，我们将已知织物样本的潜在特征压缩为一维距离，并将16个织物样本按照该距离顺序应用到滚轮上。当检测到未知织物时，滚轮会旋转以选择特征最接近的织物。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
