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Research Paper | Computer Science and Engineering | Volume 15 Issue 5, May 2026 | Pages: 1142 - 1150 | India
A Multimodal Study of Depressive Indicators and Emotional Expressions
Abstract: The project explores different approaches to analyze human expressions from textual data, facial images, and vocal tone. By implementing machine learning and deep learning models, the system studies textual expressions and emotional cues from images and audio analysis. Rather than aiming for clinical diagnosis, it examines each model separately and focuses on the importance of artificial intelligence in supporting structured analysis of human expression. Artificial intelligence can be used not only in technical tasks, but also as a tool to analyze different types of information and understand patterns in human data.
Keywords: Multimodal Analysis, Emotion Recognition, Depression Detection, Machine Learning
How to Cite?: Alaa Khazem, Dr. S. Jhansi Rani, "A Multimodal Study of Depressive Indicators and Emotional Expressions", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 1142-1150, https://www.ijsr.net/getabstract.php?paperid=SR26518152936, DOI: https://dx.dx.doi.org/10.21275/SR26518152936