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Establishing an Intelligent Emotion Analysis System for Long-Term Care Application Based on LabVIEW

Author

Listed:
  • Kai-Chao Yao

    (Department of Industrial Education and Technology, National Changhua University of Education, No. 1, Jin-De Rd., Changhua 500, Taiwan)

  • Wei-Tzer Huang

    (Department of Industrial Education and Technology, National Changhua University of Education, No. 1, Jin-De Rd., Changhua 500, Taiwan)

  • Teng-Yu Chen

    (Department of Industrial Education and Technology, National Changhua University of Education, No. 1, Jin-De Rd., Changhua 500, Taiwan)

  • Cheng-Chun Wu

    (Department of Industrial Education and Technology, National Changhua University of Education, No. 1, Jin-De Rd., Changhua 500, Taiwan)

  • Wei-Sho Ho

    (Department of Industrial Education and Technology, National Changhua University of Education, No. 1, Jin-De Rd., Changhua 500, Taiwan)

Abstract

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.

Suggested Citation

  • Kai-Chao Yao & Wei-Tzer Huang & Teng-Yu Chen & Cheng-Chun Wu & Wei-Sho Ho, 2022. "Establishing an Intelligent Emotion Analysis System for Long-Term Care Application Based on LabVIEW," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8932-:d:868078
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    References listed on IDEAS

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    1. Hui Wang & Ashutosh Sharma & Mohammad Shabaz, 2022. "Research on digital media animation control technology based on recurrent neural network using speech technology," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 564-575, March.
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