{"ID":2844612,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.11634","arxiv_id":"2511.11634","title":"Tactile Data Recording System for Clothing with Motion-Controlled Robotic Sliding","abstract":"The tactile sensation of clothing is critical to wearer comfort. To reveal physical properties that make clothing comfortable, systematic collection of tactile data during sliding motion is required. We propose a robotic arm-based system for collecting tactile data from intact garments. The system performs stroking measurements with a simulated fingertip while precisely controlling speed and direction, enabling creation of motion-labeled, multimodal tactile databases. Machine learning evaluation showed that including motion-related parameters improved identification accuracy for audio and acceleration data, demonstrating the efficacy of motion-related labels for characterizing clothing tactile sensation. This system provides a scalable, non-destructive method for capturing tactile data of clothing, contributing to future studies on fabric perception and reproduction.","short_abstract":"The tactile sensation of clothing is critical to wearer comfort. To reveal physical properties that make clothing comfortable, systematic collection of tactile data during sliding motion is required. We propose a robotic arm-based system for collecting tactile data from intact garments. The system performs stroking mea...","url_abs":"https://arxiv.org/abs/2511.11634","url_pdf":"https://arxiv.org/pdf/2511.11634v1","authors":"[\"Michikuni Eguchi\",\"Takekazu Kitagishi\",\"Yuichi Hiroi\",\"Takefumi Hiraki\"]","published":"2025-11-08T09:56:19Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.CV\",\"cs.HC\",\"cs.LG\",\"cs.MM\"]","methods":"[]","has_code":false}