Leveraging deep CNNs for accurate facial emotion recognition and analysis

Facial Emotion Detection is imaginative and prescient and device mastering; it determines human emotions based totally on facial expressions, thereby the distance among emotional intelligence from a human and synthetic intelligence allowing natural human-gadget interactions. Spotting feelings efficiently is a need for scientific, educational, advertising and marketing, leisure, and human useful resource control fields. Enhancements in such structures might be completed on this challenge based on their obstacles and creation to capabilities to cater feelings together with disgust, wonder, and neutrality, supplying emotional insights for the adaptive mastering or intellectual fitness tracking applications. The system enables simultaneous analyses of several humans within the frame as it can efficiently deal with multi-face detection as pertinent to some organization situations-which includes lecture rooms, conferences, or social gatherings- and gives a closing self-belief score to every prediction growing reliability and trustworthiness.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-02-06
DOI
https://doi.org/10.30574/wjarr.2025.25.2.0342
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging deep CNNs for accurate facial emotion recognition and analysis

M. Sami, P. Chiranjeevi, Nagalaxmi Kalluri, Sai Saket Gurubhagavatula et al.
World Journal of Advanced Research and Reviews
Face recognition and analysis
article

Leveraging deep CNNs for accurate facial emotion recognition and analysis

M. Sami, P. Chiranjeevi, Nagalaxmi Kalluri, Sai Saket Gurubhagavatula, Abhishek Kuncham
article en

Abstract

Facial Emotion Detection is imaginative and prescient and device mastering; it determines human emotions based totally on facial expressions, thereby the distance among emotional intelligence from a human and synthetic intelligence allowing natural human-gadget interactions. Spotting feelings efficiently is a need for scientific, educational, advertising and marketing, leisure, and human useful resource control fields. Enhancements in such structures might be completed on this challenge based on their obstacles and creation to capabilities to cater feelings together with disgust, wonder, and neutrality, supplying emotional insights for the adaptive mastering or intellectual fitness tracking applications. The system enables simultaneous analyses of several humans within the frame as it can efficiently deal with multi-face detection as pertinent to some organization situations-which includes lecture rooms, conferences, or social gatherings- and gives a closing self-belief score to every prediction growing reliability and trustworthiness.

World Journal of Advanced Research and ReviewsVol. 25(2)
Openalex Percentile: Top 99%
Face recognition and analysis
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Leveraging deep CNNs for accurate facial emotion recognition and analysis — M. Sami, P. Chiranjeevi, et al. · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS