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International Journal of AI for
Materials and Design Intelligent interactive textile in healthcare
Figure 1A, the research followed a structured process detection, and (iii) prototype fabrication and installation
comprising three main stages: (i) a workshop (co-design at the WTSDHC, where semi-structured interviews
session A) was conducted with the staff and elderly (co-design session B and C) with stakeholders, including
members in WTSDHC to explore preferences in soft textile co-designers, users, and occupational therapists (OT),
materials, visually engaging and memorable imagery, were conducted to assess overall satisfaction and gather
and gesture-based interactions aimed at enhancing feedback for system improvement. Figure 1B illustrates
user engagement, (ii) development of intelligent textiles the workflow of the textile-based gesture and posture
using knitted polymeric optical fiber (POF), integrated recognition system, from real-time gesture capture to
with a microcomputer running a deep learning-based visual output on the fabric’s surface. The process begins
model for real-time hand, shoulder, and head landmark with a user standing in front of the textile panel, where a
A
B
C D
Figure 1. Overview of the co-design development process and artificial intelligence-based gesture recognition system for the interactive illuminative
textile. (A) Structured research process, including a co-design workshop, intelligent textile development, and system deployment. (B) Computer vision-
based deep learning model for gesture and posture recognition through landmark detection on hands, shoulders, and head. (C) Integration of polymeric
optical fibers, edge-connected light-emitting diodes, camera, power supply, single-board computer, and custom printed circuit board to enable real-time
color feedback on textile surfaces. (D) Installed prototype of three interactive textile wall panels at Wong Tai Sin District Health Centre, designed to
enhance elderly engagement and spatial interaction.
Volume 2 Issue 3 (2025) 47 doi: 10.36922/IJAMD025170013

