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Challenges and Solutions in Emotion Detection Using Deep Learning Approaches
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Author(s): Sushma Mallik (Institute of Innovation in Technology and Management, India)and Anamika Rana (Maharaja Surajmal Institute, India)
Copyright: 2024
Pages: 19
Source title:
Machine and Deep Learning Techniques for Emotion Detection
Source Author(s)/Editor(s): Mritunjay Rai (Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India)and Jay Kumar Pandey (Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India)
DOI: 10.4018/979-8-3693-4143-8.ch009
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Abstract
Emotion detection using deep learning techniques has gained significant attention due to its wide-ranging applications in fields such as healthcare, marketing, human-computer interaction, and more. However, several challenges hinder the accurate detection and interpretation of emotions from various modalities such as text, speech, facial expressions, and physiological signals. This chapter systematically reviews the challenges faced in emotion detection and proposes innovative solutions leveraging deep learning methodologies. Through a combination of literature review, empirical analysis, and case studies, this chapter offers insights into overcoming these challenges and improving the performance and reliability of emotion detection systems across diverse applications.
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