iWood: An Intelligent Iontronic Device for Human‐Wood Interactions

Author:

Li Bin123,Ge Ruiqing3,Du Wenwen12,Wang Zhenning12,Peng Tao3,Wang Ruojiang12ORCID,Chang Yu123ORCID,Pan Tingrui1234ORCID

Affiliation:

1. School of Biomedical Engineering Division of Life Sciences and Medicine University of Science and Technology of China Hefei Anhui 230026 P. R. China

2. Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou Jiangsu 215123 P. R. China

3. Bionic Sensing and Intelligence Center (BSIC) Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong 518055 P. R. China

4. Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei Anhui 230026 P. R. China

Abstract

AbstractWoodwork is involved in a variety of interactions with humans through physical contact, which may reveal valuable information if the tactile data can be unnoticeably extracted. In this work, an intelligent iontronic wood (iWood) device, along with its seamlessly integrated architecture into the woodwork, enabled by the iontronic sensing principle, is implemented. Notably, the tactile sensing structure is generated at the iontronic interface between ionic and conductive woods. In particular, the ionic wood is established by infusing an ionic liquid into the wood, followed by immobilizing it via chemical bonding, presenting both prominent ionic conductivity and excellent stability under pressure. By formatting the woods into identical strips, the high‐density tactile sensing array can be simply formed by a braiding process for a scalable interwoven structure. As a result, the iWood device has offered a high sensitivity over a broad detection of 0.5 MPa and an array of 40 × 90 units covering an area up to 3600 cm2. The iWood device is showcased as an interactive human interface, demonstrating its potential as a smart desktop capable of gesture and object recognition, a health‐tracking chair for real‐time ballistocardiograph monitoring, and an embedded intelligent floor for weight management and gait analysis.

Funder

National Key Research and Development Program of China

Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao

National Natural Science Foundation of China

Publisher

Wiley

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