TouchpadAnyWear: Textile-Integrated Tactile Sensors for Multimodal High Spatial-Resolution Touch Inputs with Motion Artifacts Tolerance

要旨

This paper presents TouchpadAnyWear, a novel family of textile-integrated force sensors capable of multi-modal touch input, encompassing micro-gesture detection, two-dimensional (2D) continuous input, and force-sensitive strokes. This thin (\textless 1.5~mm) and conformal device features high spatial resolution sensing and motion artifact tolerance through its unique capacitive sensor architecture. The sensor consists of a knitted textile compressive core, sandwiched by stretchable silver electrodes, and conductive textile shielding layers on both sides. With a high-density sensor pixel array (25/cm\textsuperscript{2}), TouchpadAnyWear can detect touch input locations and sizes with millimeter-scale spatial resolution and a wide range of force inputs (0.05~N to 20~N). The incorporation of miniature polymer domes, referred to as ``poly-islands'', onto the knitted textile locally stiffens the sensing areas, thereby reducing motion artifacts during deformation. These poly-islands also provide passive tactile feedback to users, allowing for eyes-free localization of the active sensing pixels. Design choices and sensor performance are evaluated using in-depth mechanical characterization. Demonstrations include an 8-by-8 grid sensor as a miniature high-resolution touchpad and a T-shaped sensor for thumb-to-finger micro-gesture input. User evaluations validate the effectiveness and usability of TouchpadAnyWear in daily interaction contexts, such as tapping, forceful pressing, swiping, 2D cursor control, and 2D stroke-based gestures. This paper further discusses potential applications and explorations for TouchpadAnyWear in wearable smart devices, gaming, and augmented reality devices.

著者
Junyi Zhao
Washington University in St. Louis, Saint Louis, Missouri, United States
Pornthep Preechayasomboon
Meta, Redmond, Washington, United States
Tyler Christensen
Meta Platforms, Inc., Redmond, Washington, United States
Amirhossein H. Memar
Meta, Redmond, Washington, United States
Zhenzhen Shen
Meta Platforms, Inc., Redmond, Washington, United States
Nick Colonnese
Facebook, Redmond, Washington, United States
Michael Khbeis
Meta Platforms, Inc., Redmond, Washington, United States
Mengjia Zhu
Meta Reality Labs, Redmond, Washington, United States
論文URL

https://doi.org/10.1145/3654777.3676344

動画

会議: UIST 2024

ACM Symposium on User Interface Software and Technology

セッション: 1. Future Fabrics

Westin: Allegheny 1
6 件の発表
2024-10-15 22:40:00
2024-10-16 00:10:00