iWood: Makeable Vibration Sensor for Interactive Plywood
Te-Yen Wu, Xing-Dong Yang
Abstract
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. Things created using iWood inherit its sensing capability and can detect a variety of user input and activities based on their unique vibration patterns. Through a series of experiments and machine simulations, we carefully chose the size of the sensor electrodes, the type of triboelectric materials, and the bonding method of the sensor layers to optimize the sensitivity and fabrication complexity. The sensing performance of iWood was evaluated with 4 gestures and 12 daily activities carried out on a table, nightstand, and cutting board, all created using iWood. Our result suggested over 90% accuracies for activity and gesture recognition.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 0a0b48e4-0de9-41ab-9ed1-773d6cd39da9Cited by top-tier papers1
Ask how each one uses itRelated papers
- WooDowel: Electrode Isolation for Electromagnetic Shielding in Triboelectric Plywood SensorsYonghao Shi, Chenzheng Li, Yuning Su, Xing-Dong Yang et al.CHI 2024 · 1 citation
- IntelliLining: Activity Sensing through Textile Interlining Sensors Using TENGsMahdie Ghane Ezabadi, Aditya Shekhar Nittala, Xing-Dong Yang, Te-Yen WuCHI 2025 · 4 citations
- Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented PlywoodYuning Su, Tingyu Zhang, Jiuen Feng, Yonghao Shi et al.CHI 2024 · 1 citation
- SAWSense: Using Surface Acoustic Waves for Surface-bound Event RecognitionYasha Iravantchi, Yi Zhao, Kenrick Kin, Alanson P. SampleCHI 2023 · 30 citations
- Designing Physical Interactions with Triboelectric Material SensingXin Liu, Chengkuo Lee, Clement Zheng, Ching Chiuan YenCHI 2025 · 4 citations
