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International Journal of AI for
            Materials and Design                                                Intelligent interactive textile in healthcare



            which may enrich the user experience and enable more   Acknowledgments
            human-centered therapeutic applications. 67,68
                                                               We sincerely appreciate the valuable support and guidance
            6. Conclusion                                      provided by Dr. Elsa Lee and her team at the WTSDHC,
                                                               whose assistance was instrumental in facilitating the
            This study presents a human-centered co-design approach   placement of the textile wall panels within the center.
            to the design, development, and implementation of an
            AI-integrated gesture recognition system embedded   Funding
            in illuminative textile wall panels, aimed at enhancing   This research is funded by the Laboratory for AI in Design
            spatial engagement in a healthcare setting. The    (Project Code: RP3-5) under the InnoHK Research
            findings demonstrate the effectiveness of the gesture-  Clusters, Hong Kong Special Administrative Region.
            based illumination system, which provides immediate
            visual  feedback  through  colored  illuminations  while   Conflict of interest
            accommodating ambidextrous gestures. Key contributions
            of the study include:                              Jeanne Tan is an Editorial Board Member of this journal,
            (i)  Human-centered co-design and cultural integration:   but was not in any way involved in the editorial and
               The study employed a co-design approach involving   peer-review process conducted for this paper, directly or
               users, therapists, and stakeholders to develop an   indirectly. Separately, other authors declared that they
               AI-integrated textile system. Workshops revealed   have no known competing financial interests or personal
               preferences for soft materials, pictorial cues over text,   relationships that could have influenced the work reported
               and culturally significant graphic elements, aiming to   in this paper.
               create intuitive and emotionally resonant interactions,   Author contributions
               especially for elderly users.
            (ii)  AI and textile system development: Illuminative   Conceptualization: Jeanne Tan, Hiu Ting Tang
               textile wall panels were fabricated using POF-knitted   Investigation: Ching Lee, Hiu Ting Tang, Jun Jong Tan
               fabrics integrated with a computer vision-based deep   Methodology: Ching Lee, Hiu Ting Tang, Jun Jong Tan
               learning model for gesture recognition. Two workflow   Supervision: Jeanne Tan
               configurations were  proposed;  enabling  color-  Writing – original draft: Jeanne Tan, Ching Lee
               changing  feedback based on hand  movements.  The   Writing – review & editing:  Jeanne Tan, Ching Lee, Hiu
               system supports ambidextrous gestures and provides   Ting Tang, Wing Ki Yip, Ka Wing Tse
               real-time, interactive visual feedback.         Ethics approval and consent to participate
            (iii) Real-world implementation and impact: The
               prototypes were installed in a DHC to promote   The study received ethical approval from the Hong Kong
               elderly physical activity and engagement. Stakeholder   Polytechnic University’s Institutional Review Board
               feedback confirmed high usability, accessibility, and   (Approval  no.: HSEARS20200123003).  All  participants
               emotional connection to the design. The research   provided informed consent before the commencement of
               demonstrates the potential of AI-driven textile   the interviews.
               interfaces in healthcare, offering a scalable model for
               creating responsive, human-centered environments.  Consent for publication

              In  conclusion,  this  research  offers  insights  into  the   Written informed consent for publication of the data was
            fabrication of a textile-based gesture recognition system   obtained from all participants involved in the study.
            through  a  co-design  framework.  The  design  features   Availability of data
            demonstrated a seamless integration of AI tools into daily
            life  and  healthcare  interventions,  particularly  benefiting   Data used in this work are available from the corresponding
            elderly users. This study lays the groundwork for further   author upon reasonable request.
            exploration into  textile-based AI  systems  in interactive
            environments  and  provides  practical  guidance  for   References
            healthcare administrators planning similar installations.   1.   Islam S, Shekhar R.  Smart Textiles and Wearable
            The integration of intelligent textiles into healthcare   Technology: Opportunities and Challenges in the Production
            spaces represents a vital step toward creating responsive,   and Distribution.  Singapore:  Springer Nature; 2025.
            engaging, and human-centered environments that align   p. 267-303.
            technological innovation with human needs.         2.   Scataglini S, Moorhead A, Feletti F. A systematic review of


            Volume 2 Issue 3 (2025)                         60                        doi: 10.36922/IJAMD025170013
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