Abstract
Humans engage in a wide range of daily activities by constantly interacting with their physical environment. Recording, modeling, and augmenting such physical interactions are crucial for understanding human behaviors, advancing health monitoring and delivery, and designing human-centric intelligent systems. However, challenges arise due to the pervasive and diverse nature of these interactions: they occur across the human body over extended periods, are subjectively perceived by individuals, and involve diverse input-output modalities. Practically deployable integrated interfaces for physical interactions must be scalable, seamlessly integrated, robust, and adaptable.
In this talk, I will present three integrated textile-based systems for recording, modeling, and augmenting tactile interactions. First, I will introduce digital machine-knitted, full-sized tactile sensing garments designed to learn human-environment interactions. Next, I will briefly showcase the recording and modeling of tactile interactions in an ambient sensing scenario using an intelligent carpet. Finally, I will describe adaptive tactile interaction transfer via digitally embroidered smart gloves. These innovations highlight the opportunities created by combining digital fabrication and artificial intelligence, enabling seamless observation of human activities, in-depth analysis of interactions with the environment, and strategies to augment both human behaviors and intelligent systems.
Bio
Yiyue Luo is an Assistant Professor at the University of Washington ECE, where she leads the Wearable Intelligence Group. She earned her Ph.D. in EECS from MIT in 2024 and her B.S. in Materials Science & Engineering from UIUC in 2017. Her research lies at the intersection of digital fabrication, human-computer/robot interaction, and applied AI. Her work on integrated intelligent textiles has been published in interdisciplinary journals such as Nature Electronics and Nature Communications and in top venues for human-computer interaction, robotics, and learning, including CHI, UIST, CVPR, and ICRA.
Her research has been featured on the cover of Nature Electronics, awarded Best Paper Honorable Mention at CHI, showcased by prominent media outlets, and displayed in public museums and world congress exhibitions. She has received fellowships from MathWorks, Google, and Accenture, and was recently recognized as one of North America’s 30 Under 30 for 2024.
