SweatSkin

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Pub Date : 2024-01-12 DOI:10.1145/3631425
Chi-Jung Lee, David Yang, P. Ku, Hsin-Liu (Cindy) Kao
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Abstract

Sweat sensing affords monitoring essential bio-signals tailored for various well-being inspections. We present SweatSkin, the fabrication approach for customizable sweat-sensing on-skin interfaces. SweatSkin is unique in exploiting on-skin microfluidic channels to access bio-fluid secretes within the skin for personalized health monitoring. To lower the barrier to creating skin-conformable microfluidics capable of collecting and analyzing sweat, four fabrication methods utilizing accessible materials are proposed. Technical characterizations of paper- and polymer-based devices indicate that colorimetric analysis can effectively visualize sweat loss, chloride, glucose, and pH values. To support general to extreme sweating scenarios, we consulted five athletic experts on the SweatSkin devices' customization guidelines, application potential, and envisioned usages. The two-session fabrication workshop study with ten participants verified that the four fabrication methods are easy to learn and easy to make. Overall, SweatSkin is an extensible and user-friendly platform for designing and creating customizable on-skin sweat-sensing interfaces for UbiComp and HCI, affording ubiquitous personalized health sensing.
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SweatSkin
汗液感应可监测各种健康检查所需的重要生物信号。我们介绍的 SweatSkin 是可定制的汗液传感皮肤接口的制造方法。SweatSkin 的独特之处在于利用皮肤上的微流体通道来获取皮肤内的生物流体分泌物,从而实现个性化健康监测。为了降低制造能够收集和分析汗液的皮肤适形微流体的门槛,我们提出了四种利用可获得材料的制造方法。基于纸张和聚合物的设备的技术特性表明,比色分析能有效地显示汗液流失、氯化物、葡萄糖和 pH 值。为了支持一般到极端的出汗情况,我们就 SweatSkin 设备的定制指南、应用潜力和预期用途咨询了五位运动专家。有十名参与者参加的两节制作研讨会研究证实,四种制作方法简单易学,易于制作。总之,SweatSkin 是一个可扩展且用户友好的平台,可用于设计和创建可定制的皮肤汗液传感界面,为 UbiComp 和人机交互提供无所不在的个性化健康传感。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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