Facial Emotion Depth Index

• Published in: 2023 International Conference on Emerging Research in Computational Science (ICERCS) pp. 1 - 6
• Main Authors: Jagadish, Tarun, Shabrez, Md, Robert, V. Noel Jeygar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.12.2023
• Subjects: Data Analytics; emotion depth; Emotion detection systems; Emotion recognition; image processing; Indexes; Psychology; Rendering (computer graphics); Robustness; Scientific computing; Task analysis
• DOI: 10.1109/ICERCS57948.2023.10434164

Conventional methods for emotion detection typically entail classifying emotions into predefined categories, potentially yielding restricted and imprecise depictions of an individual's emotional disposition. In this research endeavor, we embark on a fresh approach aimed at discerning emotions and gauging their intensity through the utilization of an innovative emotion depth index. By forecasting continuous values that mirror the magnitude of emotion, this methodology affords a heightened level of precision and a more intricate comprehension of an individual's emotional state. Furthermore, this study delves into the potential real-world applications of this technology, spanning from psychological counseling and customer service to market research. Our findings strongly indicate that the emotion depth index bears the promise to revolutionize the landscape of emotion detection systems, presenting a more precise and finely tuned portrayal of an individual's emotional condition.