基于物联网的睫毛延长耐久性评估：使用LabVIEW数据分析

AIoT-Based Eyelash Extension Durability Evaluation Using LabVIEW Data Analysis.

作者信息

Chiang Sumei, Chang Shao-Hsun, Yao Kai-Chao, Kuo Po-Yu, Hsu Chien-Tai

机构信息

Department of Electrical and Mechanical Technology, College of Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan.

Department of Electronic Engineering, National Yunlin University of Science and Technology, Douliu 64002, Taiwan.

出版信息

Sensors (Basel). 2025 Aug 14;25(16):5057. doi: 10.3390/s25165057.

DOI:10.3390/s25165057

PMID:40871919

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390601/

Abstract

This study introduces a novel platform, the Artificial Intelligence of Things Experimental Device Platform (AIoTEDP), to evaluate the durability of eyelash extensions under various environmental factors, including temperature, wind speed, and compression frequency. The experiment employs a three-factor full factorial design, utilizing LabVIEW to collect and analyze independent variables. The retention rate of eyelash extensions is the dependent variable for evaluating the durability. The proposed AIoTEDP regulates thermostats, stepper motors, and heating fans to simulate real-world eyelash extension usage conditions. Quantitative analyses are performed through visual assessments and image recognition technologies. The experimental results indicate that high temperatures and strong winds significantly reduce the durability of eyelash extensions. However, moderate bending damage (3000 repetitions) still allows for sufficient retention. This study validates the practicality and accuracy of the proposed AIoTEDP, showcasing its potential for innovative cosmetic testing systems to assess eyelash extension durability.

摘要

本研究引入了一种新型平台——物联网人工智能实验装置平台（AIoTEDP），以评估睫毛延长术在包括温度、风速和压缩频率等各种环境因素下的耐久性。该实验采用三因素全因子设计，利用LabVIEW来收集和分析自变量。睫毛延长术的保留率是评估耐久性的因变量。所提出的AIoTEDP通过调节恒温器、步进电机和加热风扇来模拟现实世界中睫毛延长术的使用条件。通过视觉评估和图像识别技术进行定量分析。实验结果表明，高温和强风会显著降低睫毛延长术的耐久性。然而，适度的弯曲损伤（3000次重复）仍能保证足够的保留率。本研究验证了所提出的AIoTEDP的实用性和准确性，展示了其在创新化妆品测试系统中评估睫毛延长术耐久性的潜力。