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Chromaheat AI Aṣọ Agbóoru-nù láti ọwọ́ Ching Lee, Jeanne Tan and Jun Jong Tan

Chromaheat AI Aṣọ Agbóoru-nù láti ọwọ́ Ching Lee, Jeanne Tan and Jun Jong Tan jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Àwọ̀ṣe.


IdẹÌmọ̀-ẹ̀rọ Àwọ̀ṣe· 2025

Chromaheat AI Aṣọ Agbóoru-nù

látọ̀wọ́ Ching Lee, Jeanne Tan and Jun Jong Tan

Oníbàárà: Laboratory for Artificial Intelligence in Design (AiDLab)

Aṣẹ́gun Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìmọ̀-ẹ̀rọ Àwọ̀ṣe

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

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Àwọ̀

Àpẹrẹ Náà

Nípa Chromaheat AI Aṣọ Agbóoru-nù

Chromaheat AI jẹ́ ẹ̀wù agbóoru-nù ọlọ́gbọ́n tí ó ń lo ìṣàkóso iwọn ooru tí AI ń darí àti okùn thermochromic láti pèsè ìmúlóoru tí ó ń yípadà àti ìdáhùn àfihàn lẹ́sẹ̀kẹsẹ̀. Ètò AI tí ó kọ́ ara rẹ̀ ń ṣàtúnṣe ìmúlóoru lórí ìdásílẹ̌ ọjọ́ orí, akọ tàbí abo, àti ipò àyíká, ṣíṣe ìmúdára ìtùnú ooru kárí àwọn iwọn ooru tó yàtọ̀, ipele ọ̀rinrin, àti iyára afẹ́fẹ́. Okùn tí ń yí àwọ̀ padà ń pèsè àwọn àmì-ooru tó hàn gbangba, ń mú ààbò, ìlò-rọrùn, àti ìṣàkóso pọ̀ sí i. Tí a ṣàpẹẹrẹ fún wíwọ̀ lójoojúmọ́, ìṣàkóso aládàáṣe tí ó ń lo agbára dáradára jẹ́ kí ó dára fún àwọn ìlò ètò ìlera àti aṣọ ọlọ́gbọ́n.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Idẹ A' Design Award

Chromaheat AI Aṣọ Agbóoru-nù jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Chromaheat AI Aṣọ Agbóoru-nù yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Chromaheat AI Aṣọ Agbóoru-nù ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe
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.
Ìwọ̀n àti Àpò
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).
Àwọn Àkọlé
intelligent textile, heating textile, temperature control, thermochromic textile and healthcare
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀
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.
Ìpèníjà Àpèsè
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.
Ìwádìí
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.
Ìmísí
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.
Àkókò Iṣẹ́ Àkànṣe
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.
Ìlànà Ìṣiṣẹ́
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.
Àwọn Ìwé-ẹ̀rí Ohun-Ìmọ̀
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.
Àwọn Ọmọ Ẹgbẹ́
Ching Lee
Jeanne Tan
Jun Jong Tan
Wing Shan Yu
Hiu Ting Tang
Wing Chung Wong
Chi Yuen Hui
Shui Wing Ng
Ìfọwọ́sí Àwòrán
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.

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