Supramolecular Wood-Based Human-Computer Interaction Interface for Text Recognition.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Supramolecular Wood-Based Human-Computer Interaction Interface for Text Recognition.
Συγγραφείς:	Jiang Y; Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China., Zhang Y; College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China., Fu Z; Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China., Lu Y; Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China.
Πηγή:	ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2026 Mar 04; Vol. 18 (8), pp. 13051-13060. Date of Electronic Publication: 2026 Feb 18.
Τύπος έκδοσης:	Journal Article
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: American Chemical Society Country of Publication: United States NLM ID: 101504991 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1944-8252 (Electronic) Linking ISSN: 19448244 NLM ISO Abbreviation: ACS Appl Mater Interfaces Subsets: MEDLINE
Imprint Name(s):	Original Publication: Washington, D.C. : American Chemical Society
Ιατρικοί όροι (MeSH):	Wood/chemistry , Hydrogels/chemistry , Handwriting* , User-Computer Interface*, Cellulose/chemistry ; Humans
Περίληψη:	Text recognition is a cornerstone of human-computer interaction (HCI), yet conventional isotropic sensing interfaces are intrinsically constrained in resolving the complex directional features of handwriting, particularly the intricate stroke orientations of Chinese characters. Here, leveraging the intrinsic anisotropic architecture of natural wood, we developed a mechanically robust, highly stretchable, and sensitive hydrogel-based interface capable of accurately distinguishing diverse handwriting trajectories. The resulting wood-based soft hydrogel used for human-computer interaction (WSH-HCI) achieves 25 MPa tensile strength along the fiber axis─6.5× higher than in the transverse direction─while maintaining stable multidirectional signal discrimination and up to 96% accuracy in Chinese basic-stroke recognition. These performances arise from preserved aligned cellulose nanofiber channels and a strong PVA-cellulose hydrogen-bonding network. Demonstrations include real-time recognition of English letters and Chinese characters. This work provides a viable pathway toward high-performance anisotropic hydrogel sensors for advanced handwriting recognition and intelligent human-computer interactions.
Contributed Indexing:	Keywords: anisotropic sensing; high-performance sensors; human−computer interaction; text recognition; wood-based hydrogel
Substance Nomenclature:	0 (Hydrogels) 9004-34-6 (Cellulose)
Entry Date(s):	Date Created: 20260219 Date Completed: 20260708 Latest Revision: 20260708
Update Code:	20260708
DOI:	10.1021/acsami.5c19469
PMID:	41709537
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1944-8252
DOI:	10.1021/acsami.5c19469