Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented Plywood

Yuning Su, Tingyu Zhang, Jiuen Feng, Yonghao Shi, Xing-Dong Yang, Te-Yen Wu (CHI 2024)
[PDF]

Tagnoo is a computational plywood augmented with RFID tags, aimed at empowering woodworkers to effortlessly create room-scale smart environments. Unlike existing solutions, Tagnoo does not necessitate technical expertise or disrupt established woodworking routines. This battery-free and cost-effective solution seamlessly integrates computation capabilities into plywood, while preserving its original appearance and functionality.

WooDowel: Enhancing Triboelectric Plywood Sensors with Electromagnetic Shielding

Yonghao Shi, Chenzheng Li, Yuning Su, Xing-Dong Yang, Te-Yen Wu (CHI 2024)
[PDF]

WooDowel presents a new approach that enables the woodworker to manually isolate short-circuited electrodes. This method facilitates the creation of sensors using overlapping electrodes, while also incorporating EM shielding, thereby resulting in a substantial improvement in the sensor's robustness when detecting user activities.

iWood: Makeable Vibration Sensor for Interactive Plywood

Te-Yen Wu , Xing-Dong Yang. (UIST 2022)
[Video] [DOI] [PDF] [Github]

iWood is interactive plywood that can sense vibration based on triboelectric effect. As a material, iWood survives common woodworking operations, such as sawing, screwing, and nailing and can be used to create furniture and artifacts.

Body-Centric NFC: Body-Centric Interaction with NFC Devices Through Near-Field Enabled Clothing

Te-Yen Wu , Huizhong Ye, Chi-Jung Lee, Xing-Dong Yang, Bing-Yu Chen, Rong-Hao Liang(DIS 2022)
[Video] [DOI] [PDF]

This paper presents an investigation of body-centric interactions between the NFC device users and their surroundings, and an accessible method for fabricating fexible, extensible, and scalable NFC extenders on clothing pieces, and an easy-to-use toolkit for facilitating designers to realize the interactive experiences.

Project Tasca: Enabling Touch and Contextual Interactions with a Pocket-based Textile Sensor

Te-Yen Wu , Zheer Xu, Xing-Dong Yang, Steve Hodges, Teddy Seyed(CHI 2021)
[Video] [DOI] [PDF]

Project Tasca presents a pocket-based textile sensor that detects user input and recognizes everyday objects usually carried in the pockets of a pair of pants (e.g., keys, coins, electronic devices, or plastic items). By creating a new fabric-based sensor capable of detecting in-pocket touch and pressure, and recognizing metallic, non-metallic, and tagged objects inside the pocket, we enable a rich variety of subtle, eyes-free, and always-available input, as well as context-driven interactions in wearable scenarios

Capacitivo: Contact-Based Object Recognition on Interactive Fabrics using Capacitive Sensing

Te-Yen Wu , Lu Tan, Yuji Zhang, Teddy Seyed, Xing-Dong Yang (UIST 2020)
[Video] [DOI] [PDF]

Capacitivo is a contact-based object recognition technique developed for interactive fabrics, using capacitive sensing. Unlike prior work that has focused on metallic objects, our technique recognizes non-metallic objects such as food, different types of fruits, liquids, and other types of objects that are often found around a home or in a workplace.

Fabriccio: Touchless Gestural Input on Interactive Fabrics

Te-Yen Wu , Shutong Qi, Junchi Chen, MuJie Shang, Jun Gong, Teddy Seyed, Xing-Dong Yang (CHI 2020)
[Video] [DOI] [PDF]

Fabriccio is a a touchless gesture sensing technique developed for interactive fabrics using Doppler motion sensing.

ThreadSense: Locating Touch on an Extremely Thin Interactive Thread

Pin-Sung Ku, Qijia Shao, Te-Yen Wu , Jun Gong, Ziyan Zhu, Xia Zhou, Xing-Dong Yang (CHI 2020)
[Video] [DOI] [PDF]

We propose a new sensing technique for one-dimensional touch input workable on an interactive thread of less than 0.4 mm thick. Our technique locates up to two touches using impedance sensing with a spacing resolution unachievable by the existing methods.

Zippro: The Design and Implementation of An Interactive Zipper

Pin-Sung Ku, Jun Gong, Te-Yen Wu , YiXin Wei, Yiwen Tang, Barrett Ens, Xing-Dong Yang (CHI 2020)
[Video] [DOI] [PDF]

This paper explored the possibilities of interaction with ubiquitous zipper-bearing objects, with a focus on opportunities for foreground and background interactions. Based on the findings, we built a self-contained prototype, Zippro that can replace a common zipper slider.

BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard.

Zheer Xu, Weihao Chen, Dongyang Zhao, Jiehui Luo, Te-Yen Wu , Jun Gong, Sicheng Yin, Jialun Zhai, Xing-Dong Yang (CHI 2020)
[Video] [DOI] [PDF]

We present a bimanual text input method on a miniature fingertip keyboard, that invisibly resides on the first segment of a user’s index finger on both hands.

TipText: Eyes-Free Text Entry on a Fingertip Keyboard

Zheer Xu, Pui Chung Wong, Jun Gong, Te-Yen Wu , Aditya Shekhar Nittala, Xiaojun Bi, Jurgen Steimle, Hongbo Fu, Kening Zhu, Xing-Dong Yang (UIST 2019)
[Video] [DOI] [PDF]

Best Paper Award

In this paper, we propose and investigate a new text entry technique using micro thumb-tip gestures. Our technique features a miniature QWERTY keyboard residing invisibly on the first segment of the user’s index finger. Text entry can be carried out using the thumb-tip to tap the tip of the index finger.

AccessibleCircuit: Adaptive Add-On Circuit Components for People with Blindness or Low Vision

Ruei-Che Chang, Wen-Ping Wang, Chi-Huan Chiang, Te-Yen Wu , Zheer Xu, Justin Luo, Bing-Yu Chen, Xing-Dong Yang (CHI 2021)
[Video] [DOI] [PDF]

In this paper, we propose the designs for low cost and 3D-printable add-on components to adapt existing breadboards, circuit components and electronics tools for blind or low vision (BLV) users.

TangibleCircuits: An Interactive 3D Printed Circuit Education Tool for People with Visual Impairments.

Josh Urban Davis, Te-Yen Wu , Bo Shi, Hanyi Lui, Anthina Panotopoulou, Emily Whiting, Xing-Dong Yang (CHI 2020)
[Video] [DOI] [PDF]

Honorable Mention Award

We present a novel haptic and audio feedback device that allows blind and visually impaired (BVI) users to understand circuit diagrams. TangibleCircuits allows users to interact with a 3D printed tangible model of a circuit which provides audio tutorial directions while being touched.

Proxino: Enabling Prototyping of Virtual Circuits With Physical Proxies

Te-Yen Wu , Jun Gong, Teddy Seyed, Xing-Dong Yang (UIST 2019)
[Video] [DOI] [PDF]

In this paper, we propose blending the virtual and physical worlds for prototyping circuits using physical proxies. With physical proxies, real-world components (e.g. a motor, or light sensor) can be used with a virtual counterpart for a circuit designed in software.

CurrentViz: Sensing and Visualizing Electric Current Flows of Breadboarded Circuits.

Te-Yen Wu , Hao-Ping Shen, Yu-Chian Wu, Yu-An Chen, Pin-Sung Ku, Ming-Wei Hsu, Jun-You Liu, Yu-Chih Lin, Mike Y. Chen (UIST 2017)
[Video] [DOI] [PDF]

We present CurrentViz, a system that can sense and visualize the electric current flowing through a circuit, which helps users quickly understand otherwise invisible circuit behavior.

CircuitSense: Automatic Sensing of Physical Circuits and Generation of Virtual Circuits to Support Software Tools.

Te-Yen Wu , Bryan Wang, Jiun-Yu Lee, Hao-Ping Shen, Yu-Chian Wu, Yu-An Chen, Pin-Sung Ku, Ming-Wei Hsu, Yu-Chih Lin, Mike Y. Chen (UIST 2017)
[Video] [DOI] [PDF]

CircuitSense is a system that automatically recognizes the wires and electronic components placed on breadboards.

CircuitStack: Supporting Rapid Prototyping and Evolution of Electronic Circuits

Chiuan Wang, Hsuan-Ming Yeh, Bryan Wang, Te-Yen Wu , Hsin-Ruey Tsai, Rong-Hao Liang, Yi-Ping Hung, Mike Y. Chen (UIST 2016)
[Video] [DOI] [PDF]

CircuitStack is a system that com- bines the flexibility of breadboarding with the correctness of printed circuits, for enabling rapid and extensible circuit con- struction.