Real Time Emotion Detection Using CNN

Real-time facial emotion detection is an emerging field that bridges human-computer interaction with affective computing. This paper presents a novel implementation of a lightweight Convolutional Neural Network (CNN) tailored for detecting human emotions from live webcam input.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.15647705
Primary Topic
Animal Genetics and Reproduction
Type
article
Field-Weighted Citation Impact
0.00
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article

Real Time Emotion Detection Using CNN

Zenodo (CERN European Organization for Nuclear Research)
Animal Genetics and Reproduction
article

Real Time Emotion Detection Using CNN

article en

Abstract

Real-time facial emotion detection is an emerging field that bridges human-computer interaction with affective computing. This paper presents a novel implementation of a lightweight Convolutional Neural Network (CNN) tailored for detecting human emotions from live webcam input.

Zenodo (CERN European Organization for Nuclear Research)
Dr. A.P.J. Abdul Kalam Technical University (IN)
Openalex Percentile: Top 50%
Animal Genetics and Reproduction
DOIOpen Access PDFOpenAlex
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Real Time Emotion Detection Using CNN · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS