StitchOver：在接缝织物上的技术刺绣
StitchOver: Technical Embroidery on Seamed Fabrics
- Cornell Tech（康奈尔科技）
- Cornell University（康奈尔大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对接缝织物上功能线程刺绣易产生缺陷的问题，提出引入跳跃针迹的自动数字化技术，消除缺陷并保持导电性，在多种机器状态下均有效。
AI中文摘要：
智能纺织品将交互性嵌入日常服装中，支持诸如医疗应用或运动中的随时可用的传感等使用场景。机器刺绣允许将功能集成到现有纺织品中。然而，在真实世界的纺织商品上进行刺绣仍然具有挑战性。纺织商品很少由单一均匀的织物基底制成，并且使用导电线程等功能材料进行刺绣需要机器比装饰性刺绣更严格地校准。特别是，将不同基底结合在一起的接缝，加上机器的变异性，会导致功能线程与纺织基底之间的张力和摩擦力发生变化，这经常导致缺陷（在我们评估中70%的样本）。我们提出了一种即使在功能线程下也能在接缝织物上可靠刺绣的技术。我们的软件工具通过引入我们称之为“跳跃针迹”来自动数字化用户定义的针迹图案，以绕过接缝干扰。我们在不同的机器状态（欠张力、校准良好和过张力）下，以及多种接缝和图案配置下评估了我们的方法。我们的结果表明，跳跃针迹机制消除了缺陷，同时保持了导电性，相比之下，没有跳跃针迹时缺陷率为70%，并且即使在校准不良的机器状态下也能继续良好工作。
英文摘要：
Smart textiles embed interactivity into everyday garments, supporting use cases like always-available sensing for medical applications or sports. Machine embroidery allows integrating functionalities into existing textiles. However, embroidering onto real-world textile goods remains challenging. Textile goods are rarely made of a single homogeneous substrate of fabric, and embroidery with functional materials such as conductive threads requires machines to be more tightly calibrated than for decorative embroidery. In particular, seams, which bring together different substrates, along with machine variability, cause shifts in tension and friction between the functional thread and the textile substrate that frequently lead to defects (70% of samples in our evaluation). We present a technique to reliably embroider on seamed fabric even when using functional threads. Our software tool automatically digitizes user-defined stitch patterns by introducing what we call "JumpStitches" to bypass seam interference. We evaluated our approach under varying machine states (under-tensioned, well-calibrated, and over-tensioned), and across multiple seam and pattern configurations. Our results show that the JumpStitch mechanism eliminates defects, while maintaining conductivity compared to 70% defects without JumpStitches, and even in poorly calibrated machine states continues to work well.
