Dr. Te-Yen Wu’s MakeX Lab Has Two Papers Accepted at ACM UIST and ACM IMWUT/UbiComp 2026
Department of Computer Science
Dr. Te-Yen Wu’s MakeX Lab in Department of Computer Science has recently had two papers accepted at leading venues in human-computer interaction and ubiquitous computing: the 2026 ACM Symposium on User Interface Software and Technology (UIST 2026) and the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2026). FSU Computer Science Ph.D. student Yanfeng Zhao is the first author of both papers. The projects advance the lab’s research on smart textiles, wearable sensing, and technologies that support everyday life.
Textro: A Prototyping Toolkit for Solderless and Chipless Smart Textile Interfaces
Textro makes it easier to design, fabricate, and test smart textile interfaces without embedding rigid electronic components or making soldered connections. Its web-based design environment allows users to import sewing patterns and place sensing elements, then automatically generates the files needed for circuit embroidery, component fabrication, and cutting. Textile sensors and embroidered circuits are assembled using fabric glue and capacitive coupling, while a wireless reader and companion software help users test their prototypes.
The researchers demonstrated four application examples and evaluated the toolkit with 15 participants, exploring how it can make smart textile prototyping more accessible to fashion experts, makers, and novices. The paper is authored by Yanfeng Zhao and Te-Yen Wu.
Mammal: Supporting Breastfeeding Monitoring Through Computational Garments with Inter-Body Sensing
Mammal introduces a caregiver-worn computational garment that monitors breastfeeding without attaching sensors to the infant. Through natural mouth-to-breast contact, the system captures infant cardiac and feeding-related acoustic signals on the caregiver’s body. Its algorithms detect latch onset and identify sucking and swallowing events to estimate feeding duration, infant heart rate, feeding coordination, and milk intake.
Evaluated with 10 caregiver-infant dyads, Mammal explores how clothing can support unobtrusive breastfeeding monitoring while preserving natural feeding and bonding. The paper is authored by Yanfeng Zhao, Morgan Geck, Kate Fernandez, Madison Nicole Jones, Xia Zhou, Jessica L. Ridgway, and Te-Yen Wu.