Optimisation of CNN Through Transferable Online Knowledge for Stress and Sentiment Classification

• Published in: IEEE transactions on consumer electronics Vol. 70; no. 1; pp. 3088 - 3097
• Main Authors: Andreas, Andreou, Mavromoustakis, Constandinos X., Song, Houbing, Batalla, Jordi Mongay
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Arousal; Artificial neural networks; Classification; convolutional neural network; Convolutional neural networks; Data acquisition; Data models; Human factors; Learning; Medical services; online transfer learning; Real-time systems; sentiment; Skin; Stress; System effectiveness; Transfer learning

As we stand on the cusp of an evolution in effective and confidential smart healthcare systems, the disciplines of Psychology and Neuroscience remain a barrier. The obstacle of stress and sentiment classification is an enduring challenge to the field. Therefore, this research identifies mental healt...