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September 16, 2025Journal of Machine and Computing

Design of a Computational Model to Detect Hybrid Emotion Through Facial Expressions in Videos Using CNN LSTM

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Authors

SSSahaya Sugirtha Cindrella SRJR. Jayashree

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Overview

Hybrid deep learning model improves emotion prediction in video analysis, suggesting better interaction technologies.

Key Points

  • The model reaches 100% accuracy in detecting hybrid emotions, showcasing its effectiveness.
  • Utilizing convolutional neural networks to extract spatial data aids in accurate emotion classification.
  • Integration of long short-term memory networks allows for capturing temporal relationships in video data.
  • Q-based score normalization enhances the model's performance through improved feature scaling and distribution.

Cite This Study

S et al. (2025) studied this question.

synapsesocial.com/papers/68d42321713b0b5dfea6ab2dhttps://doi.org/10.53759/7669/jmc202505155
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  5. 5Deep Hybrid CNN-LSTM Framework For Advanced Social Media Sentiment Analysis In Data-Driven Marketing Analytic2025