Bronze Wearable Technologies Design · 2025
Chromaheat AI Heating Textile
by Ching Lee, Jeanne Tan and Jun Jong Tan
- A' Design Award 2025 Bronze Winner in Wearable Technologies Design
- Awarded April 15, 2025
- CLIENT: Laboratory for Artificial Intelligence in Design (AiDLab)
- Estimated Number of Design Views: 35,031
- Verification code 16E0679376 · Verify this award
About Chromaheat AI Heating Textile
Chromaheat AI is an intelligent heating jacket that utilizes AI-driven temperature regulation and thermochromic yarn to provide adaptive warmth and real time visual feedback . Its self trained AI system adjusts heating based on age, gender, and environmental conditions, optimizing thermal comfort across different temperatures, humidity levels, and wind speeds. The color changing yarn offers visible heat indicators, enhancing safety, usability, and monitoring. Designed for daily wear, its energy efficient automated control makes it ideal for healthcare applications and smart textiles.
Chromaheat AI Heating Textile by Ching Lee, Jeanne Tan and Jun Jong Tan emerges from a rich lineage of wearable technology exploration that has accelerated dramatically in recent decades as miniaturized electronics, flexible circuitry, and advanced textile engineering converge to reimagine the fundamental relationship between clothing and human physiological support. This work appears to engage meaningfully with traditions of performance apparel design where garments transcend passive covering to become active environmental mediators, responding dynamically to bodily needs and external conditions, a conceptual territory pioneered by military and aerospace research before migrating into civilian applications ranging from athletic performance enhancement to medical therapeutic textiles and everyday comfort optimization. The compositional achievement demonstrates sophisticated understanding of visual communication strategies that must simultaneously document technical innovation and evoke experiential benefits, the centered posterior view eliminating distracting facial particularity to universalize the wearer, transforming the specific human figure into an everywearer with whom diverse audiences can identify, while the dramatic illumination of the integrated heating element creates immediate visual comprehension of the technology's location, form, and functional elegance. The chromatic sophistication merits particular attention, the design team evidently selecting a cyan-turquoise luminescence that suggests both technological modernity through its LED-like quality and natural vitality through associations with bioluminescence, clear water, and atmospheric phenomena, this color choice avoiding aggressive red or orange heating visualization that might connote danger or discomfort, instead proposing a cooling aesthetic paradoxically representing warming function, a conceptual sophistication that invites reflection on how color semiotics can expand or complicate functional associations. The garment's formal integration reveals accomplished technical execution, the heating element's linear grid pattern conforming elegantly to the curved topography of shoulders and upper back, suggesting either intelligent pattern cutting that pre-accommodates bodily contours or flexible circuitry capable of conforming to movement and posture variation, this successful integration of rigid technological components with soft flexible textile substrates representing one of wearable technology's persistent design challenges, here apparently resolved with grace that maintains both thermal performance and aesthetic refinement. The work seems to explore thematic territories surrounding human vulnerability to environmental conditions, the perpetual need for thermal regulation that consumes significant energy resources in built environments, and the potential for personalized microclimate control that could reduce collective heating demands while increasing individual comfort agency, themes resonating with contemporary sustainability discourse, energy conservation imperatives, and the broader cultural movement toward personalized responsive technologies that adapt to individual rather than collective needs. One might observe how this heating textile participates in longer design histories of augmented clothing, referencing perhaps early electrically heated flight suits, therapeutic heat wraps, and even metaphorically the luminous halos and radiant garments of religious iconography that visualize sanctity, protection, and divine favor, here secularized and democratized through technological means accessible to everyday users seeking practical comfort enhancement. The documentation style reveals careful attention to legibility and aesthetic appeal, the neutral background eliminating contextual distraction, the controlled lighting creating dramatic visual impact while maintaining faithful material representation, the tight cropping focusing attention precisely where innovation resides, these formal choices suggesting design team awareness that technological innovation must be communicated through compelling visual narratives that engage both rational understanding and emotional response, making abstract technical achievement tangible and desirable through strategic aesthetic framing. Viewers encountering this work might consider how wearable technologies propose new relationships between bodies and environments, how clothing evolves from passive protection toward active environmental modification, how visible technology integrates with or disrupts traditional garment aesthetics, and how design innovation serves fundamental human needs for comfort, agency, and environmental adaptation in an era of increasing climate variability and energy consciousness.
Press Kit
- Unique Properties
- ChromaHeat AI is an intelligent heating jacket that integrates AI-driven temperature regulation with thermochromic yarn, providing adaptive warmth and real-time color-changing temperature feedback. The self-trained AI system adjusts heating based on age, gender, and environmental factors, optimizing thermal comfort across varying temperatures, humidity levels, and wind speeds. Designed for everyday use, its energy-efficient control makes it ideal for healthcare technology.
- Dimensions & Packaging
- Materials: Silver-coated conductive yarn, thermochromic yarn, polymeric optical fiber, cotton.
Technology: AI-driven regulation, ANN model, Bluetooth, thermocouples MAX6675, ambient sensors BME680, FS3000.
Color Transitions: Pale purple to hot pink at 30 degrees Celsius in lit conditions; blue to yellow to red from 30 to 40 degrees Celsius and above in dark conditions.
Dimensions: International Male M (Chest: 970 mm, Length: 680 mm, Sleeve: 630 mm). - Tags
- intelligent textile, heating textile, temperature control, thermochromic textile and healthcare
- Production Technology
- ChromaHeat AI is fabricated using woven and embroidered thermochromic yarn and polymeric optical fiber, combined with silver-coated conductive heating yarn, enabling real-time temperature visualization with high brightness in both lit and dark environments. It features a self-trained ANN-driven system, utilizing data from 50 wearability test subjects to determine optimal heating temperatures for intelligent temperature regulation across diverse users.
- Design Challenge
- The biggest challenge was training the AI model from scratch, as no publicly available datasets existed on optimal heating temperatures for thermal comfort across different users. To validate the concept, we recruited 50 subjects to test heating levels from 40 degree celsius to 60 degree celsius, identifying their preferred comfort temperatures. Additionally, constraints on age groups and testing conditions posed limitations, requiring careful data collection to ensure accuracy and applicability.
- Project Duration
- The project began in January 2021 and was completed in December 2024 in Hong Kong. The first prototype was exhibited at Sensory Stitches, Intelligent, Intuitive, Illuminative at Tai Kwun, Hong Kong, China, from September 8 to 13, 2022.
- Operation Flow
- ChromaHeat AI intuitively adjusts its heating levels using an AI-driven system that responds to the wearer's age, gender, and surroundings. Once worn, built-in sensors track environmental conditions and send data to the intelligent model, which fine-tunes warmth for maximum comfort and efficiency . Its color-changing and light-emitting features provide instant visual feedback , helping users monitor temperature shifts in real time, ensuring safety and ease of use in daily life.
- Research
- This research developed AI-driven heating e-textiles for personalized thermal comfort and healthcare safety through real-time temperature visualization. Data from 50 participants was collected to train an ANN model, which determines optimal heating temperatures from 40 to 50 degrees Celsius with a mean squared error of 5.083, demonstrating a high correlation between predicted and actual comfort levels. The results confirm enhanced thermal comfort and benefits for healthcare applications.
- Inspiration
- Existing heating e-textiles, such as Bluetooth-controlled systems, have advanced textile technology but still lack intelligent adaptation, requiring manual operation to adjust heating levels. They offer limited heat indication, typically displayed on small switches, making it difficult for users to monitor temperature changes. ChromaHeat AI was developed to address these limitations, aiming to enhance human well-being through smart heating textiles that improve comfort, safety, and efficiency.
- Image Credits
- Main Image: Photographer Henry Yeung – Heating position on the upper back of the body, 2024.
Optional Image #1: Photographer Chun Hei Lee – Integrated sensors in pocket with a small size, 2024.
Optional Image #2: Photographer Chun Hei Lee – Illuminative effect in a dark environment, 2022.
Optional Image #3: Photographer Chun Hei Lee – Jacket providing thermal comfort, 2024.
Optional Image #4: Photographer Chun Hei Lee – Minimalist and sporty design , 2024. - Patents
- Patent Filed. Patent Application No. 2308943HK01. Lee, C., Tan, J., & Tan, J. J. 2023. China National Intellectual Property Administration. Jurisdiction: China. Filed on 10 October 2023.
Colors of Chromaheat AI Heating Textile
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AI-Powered Smart Textile Innovation
We develop cutting-edge AI-powered smart textiles that revolutionize thermal comfort through intelligent temperature regulation. Our patented ChromaHeat technology integrates thermochromic yarns with machine learning, creating adaptive heating systems ideal for healthcare, sports, and consumer…
G0E2 ShopDesign Interview about Chromaheat AI Heating Textile
My inspiration often comes from scientific systems and natural processes . For example, the concept behind ChromaHeat AI was inspired by fuzzy logic-based temperature control systems used in air conditioners. This led me to explore how similar principles, enhanced by AI, could be applied to e-textiles to improve personal thermal comfort. By combining data-driven decision-making with responsive materials, I aim to design products that are both intelligent and empathetic—capable of adapting to people and their environments.
What we wanted to achieve with this work was a functional, user-centered solution that goes beyond traditional textile applications—something that adapts in real-time, improves well-being, and reflects the future of wearable technology. We aimed to bridge the gap between research and real-life use by creating a system that is not only technically advanced but also wearable, functional, and accessible.
In addition, we are currently exploring the development of a cooling function , so the system can offer both heating and cooling capabilities —creating a comprehensive temperature-regulating solution for e-textiles. Our long-term goal is to finalize the product and commercialize it , making intelligent thermal-wear a practical and impactful option for everyday use in fashion, healthcare, and outdoor applications.
The idea behind ChromaHeat AI came from a desire to create a solution that would combine functionality, adaptability, and comfort , while also pushing the boundaries of what textiles can do. It was a pursuit of innovation driven by curiosity, research, and a strong belief in the possibilities of design and technology working together to improve daily life.
I saw an opportunity to bridge the fields of textile design, artificial intelligence, and material science to create an advanced system that could respond dynamically to individual needs and environmental changes. The concept behind ChromaHeat AI emerged from this realization—combining woven textile structures , conductive materials , and machine learning to design a product that not only functions effectively but also aligns with the growing expectations for smart, responsive, and wearable technologies.
Ultimately, it was the intersection of science, compassion, and innovation that drove me to create this work.
In addition, I also drew inspiration from intelligent control systems used in industrial design—particularly fuzzy logic-based temperature regulation in air conditioners. This concept showed me how environmental responsiveness could be translated into personal wearables through an AI-powered textile interface.
While ChromaHeat AI is an original concept developed by our team, it's built on the foundation of interdisciplinary innovation and influenced by both design mentors and real-world technological systems that prioritize user adaptability and functionality.
Additionally, ChromaHeat AI incorporates illuminative functionality , enabling the textile to change color in response to heating, which provides not only a visual indicator of the system’s operation but also an aesthetic enhancement. The use of woven conductive yarns and polymeric optical fibers makes the fabric flexible, durable, and suitable for real-life applications in fashion, interiors, and rehabilitation.
This holistic approach—merging data-driven intelligence, user-centered design, visual interactivity, and advanced textile engineering—is what truly distinguishes ChromaHeat AI from other smart textile products.
Together, ChromaHeat AI represents an intelligent textile system that combines heat, color, and smart adaptability —merging aesthetics and function in a wearable, data-driven solution.
To evaluate heating efficiency, we used an infrared camera , which helped us visualize and analyze temperature distribution across different textile structures. For the AI component, we employed the Scikit-learn Machine Learning library in Python to develop and train an Artificial Neural Network (ANN) model that predicts and adjusts heating levels based on user and environmental data.
These tools together supported a research-driven, iterative design process , allowing us to fine-tune both the material properties and intelligent control system of the textile.
In addition, the textile’s color-changing illuminative effect adds a visual and interactive dimension, making the experience not only functional but also emotionally engaging. This fusion of smart materials, artificial intelligence, and woven craftsmanship creates a design that is both technologically advanced and wearable, which is a rare combination in the current landscape of smart textiles.
I also collaborated with engineer Jun Jong Tan , who contributed specialized knowledge in system development and hardware integration , particularly in embedding functional components like heating elements, sensors, and developing the control system.
This project would not have been possible without this cross-disciplinary teamwork , bringing together design creativity, textile engineering, and AI technology to create a truly innovative and functional smart textile system.
Additionally, conductive yarns and polymeric optical fibers are woven into the textile to deliver both thermal response and visual feedback through a color-changing effect. The use of infrared imaging during development further allowed us to monitor and optimize performance.
Overall, technology transforms this textile from a passive material into an interactive, responsive, and adaptive system , redefining how garments and fabrics can support personal comfort and well-being.
We also conducted subject testing to collect physiological and environmental data—including user-specific factors such as age, gender, height, and weight , as well as variables like ambient temperature, humidity, and air velocity . This data was used to train an Artificial Neural Network (ANN) model via Scikit-learn in Python , allowing the textile system to intelligently predict the most suitable heating temperature for individual users.
In short, this design is a balance of creativity and technical accuracy , and it would not have been possible without an extensive process of data collection, pattern recognition, and applied machine learning to make informed, adaptive design decisions.
Another significant challenge was the lack of open-source data related to factors like user age, gender, body size, and environmental conditions in relation to thermal comfort. To overcome this, we conducted our own subject tests to gather the necessary data, which was then used to train the AI model. This process was time-consuming and demanded high precision to ensure the accuracy and reliability of the system.
Additionally, because Hong Kong doesn’t experience extreme cold weather, conducting outdoor performance tests for the heating textile was limited. To address this, we performed controlled indoor experiments to simulate a range of environmental conditions.
Despite these challenges, overcoming each hurdle helped refine the project into a truly innovative and user-responsive design.
Submitting to an international competition was also a strategic decision to validate our work , gain exposure , and build meaningful connections across industries , from tech and fashion to healthcare and interior design. It’s an opportunity to showcase how intelligent textiles can play a transformative role in daily life, and it helps open doors for future collaborations, funding, and commercialization .
I also deepened my understanding of user-centered design methods , especially when collecting and analyzing data to guide function and usability. Developing and applying an AI-powered control system not only expanded my technical skill set but also showed me the value of real-time adaptability in creating meaningful experiences for users.
Perhaps most importantly, this project taught me the value of iteration and resilience . There were many challenges, from material limitations to data collection hurdles, but each challenge pushed me to think creatively, refine my process, and remain flexible. As a result, I emerged more confident in integrating design with research, and better equipped to lead future innovations in smart textiles.
We’re particularly passionate about creating accessible, human-centered smart textiles that not only serve functional needs but also open new creative possibilities for designers and industry professionals. We’re always looking for new collaborators and partners who share our vision of merging design, science, and technology in ways that improve daily life.
Finally, I’d like to express my gratitude for platforms like the A' Design Award that recognize interdisciplinary innovation. It’s through opportunities like these that researchers and designers can gain visibility, share knowledge, and inspire progress across global design communities.