Real-Time Emotion Classification and Prediction Using a Hybrid Facial Expression Recognition Model Emotion Recognition in Human Resources’ Future

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Hybrid model provides insights on emotional engagement in workforce, highlighting future implications for HR practices.

Hybrid model accurately classifies emotions into seven categories using advanced techniques and real-time video.
The method utilized images from the FER dataset, enhancing processing speed with GPU acceleration for training.
Incorporating behavioral features aids in understanding employee satisfaction, revealing important HR applications.
Potential ethical concerns arise with emotion recognition technologies, emphasizing the balance between technology and privacy rights.

Sharma et al. (2025) studied this question.

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