智能热色加热电子织品用于医疗保健中的个性化温度控制
Ching Lee1,2, Jeanne Tan1,2, Jun Jong Tan2
1School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Special Administrative Region.
ACS applied materials & interfaces
|January 9, 2025
概括
这项研究介绍了一个智能热色加热电子织品,具有人工智能控制,以实现个性化的舒适性和安全性. 它使用颜色变化来表示温度,使老年用户和护理人员受益.
科学领域:
- 材料科学 材料科学 材料科学
- 可穿戴技术可穿戴技术
- 人工智能的人工智能
背景情况:
- 电子织品 (e-textiles) 提供热舒适性,但存在与热有关的疾病的风险,特别是对于老年人.
- 不同的热需求使得用户对当前电子织品的普遍满意度变得具有挑战性.
- 现有的解决方案缺乏智能,个性化的温度调节和明确的安全指标.
研究的目的:
- 引入智能热色加热电子织品,并配备基于人工智能的温度控制系统.
- 为了优化个人热舒适,同时减轻过热的风险.
- 提供可视温度指标,以提高用户安全和护理人员的支持.
主要方法:
- 导电线,温度诱导变色线 (TIDY) 和聚合物光纤 (POF) 在织物中集成.
- 集成微控制器,环境传感器和蓝牙,用于智能系统操作.
- 开发和训练AI模型,使用50名受试者的可穿戴性测试数据来确定最佳加热参数.
主要成果:
- 人工智能模型在确定40-50°C之间的最佳加热温度时,达到5.083的平均平方误差 (MSE).
- 在预测和实际用户舒适度之间观察到很高的相关性.
- 热色特性有效地可视化了温度变化,用于用户反和护理人员监测.
结论:
- 智能热色电子织品提高了热舒适度,并大大降低了过热的风险.
- 由人工智能驱动的系统提供了个性化供暖解决方案,以满足个人的需求.
- 这项技术显示出先进的可穿戴医疗保健应用的巨大潜力,特别是针对老年人等弱势群体.
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