文章基本信息

标题：Establishing an Intelligent Emotion Analysis System for Long-Term Care Application Based on LabVIEW
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作者：Yao, Kai-Chao ; Huang, Wei-Tzer ; Chen, Teng-Yu 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2022
卷号：14
期号：14
页码：1-18
DOI：10.3390/su14148932
语种：English
出版社：MDPI, Open Access Journal
摘要：In this study, the authors implemented an intelligent long-term care system based on deep learning techniques, using an AI model that can be integrated with the Lab’s Virtual Instrumentation Engineering Workbench (LabVIEW) application for sentiment analysis. The input data collected is a database of numerous facial features and environmental variables that have been processed and analyzed; the output decisions are the corresponding controls for sentiment analysis and prediction. Convolutional neural network (CNN) is used to deal with the complex process of deep learning. After the convolutional layer simplifies the processing of the image matrix, the results are computed by the fully connected layer. Furthermore, the Multilayer Perceptron (MLP) model embedded in LabVIEW is constructed for numerical transformation, analysis, and predictive control; it predicts the corresponding control of emotional and environmental variables. Moreover, LabVIEW is used to design sensor components, data displays, and control interfaces. Remote sensing and control is achieved by using LabVIEW’s built-in web publishing tools.
关键词：long-term care; LabVIEW; convolutional neural network (CNN); emotional analysis