触觉技术
接口
动觉学习
计算机科学
线程(计算)
可穿戴计算机
织物
触针
触觉传感器
可穿戴技术
虚拟现实
人机交互
人工智能
计算机视觉
计算机硬件
机器人
嵌入式系统
材料科学
发展心理学
复合材料
操作系统
心理学
作者
Siwei Xiang,Guorui Chen,Wen Qian,Han Li,Xinxin Luo,Jiahua Zhong,Sophia Shen,Aiden Di Carlo,Xing Fan,Jun Chen
出处
期刊:Matter
[Elsevier]
日期:2023-11-22
卷期号:7 (1): 82-94
被引量:4
标识
DOI:10.1016/j.matt.2023.10.024
摘要
Summary
Wearable kinesthetic communication technology is a critical foundation for the rapidly evolving human-metaverse interface. Here, we introduce a fully embedded textile tactile sensor array that provides accurate and real-time haptic feedback. Benefiting from a reliable and scalable spacer-thread-based woven structure, it allows for tactile detection with a fine resolution of 0.1 mm and a rapid response time of 30 ms. Despite its advanced functionality, our haptic textile maintains superior wearing comfort and is designed to function without crosstalk or interference from environmental factors or motion artifacts. We demonstrate the potential of our haptic textile through the development of a machine-learning-assisted haptic textile glove, which enables individuals to experience virtual objects through the sense of touch. This glove uses tactile feedback to distinguish between materials based on roughness and can even recognize shapes as delicate as small insect footprints with an accuracy of 95.8%.
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