August 14, 2025International Journal For Multidisciplinary ResearchOpen Access

Improving Emotion Aware Facial Recognation with Integrated Feature Statergies

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Authors

RPRahul PawarJain University VCVaishali ChavanIthaka Harbors

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Implication

Research demonstrates improved facial recognition accuracy for detecting stress levels and emotional states, suggesting applications in health and education.

Key Points

The system successfully identifies emotions like happiness, sadness, and stress, improving mental health support.
An accuracy of approximately 85% was achieved, validating its effectiveness on the JAFEE dataset and additional data.
This approach utilized deep learning techniques to capture subtle facial changes and classify emotions with precision.
Potential applications include mobile health monitors and emotion-aware virtual assistants for various sectors.

Cite This Study

Pawar et al. (2025) studied this question.

synapsesocial.com/papers/68af75207567bf4f94fee761 https://doi.org/10.36948/ijfmr.2025.v07i04.53689

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Implication

Research demonstrates improved facial recognition accuracy for detecting stress levels and emotional states, suggesting applications in health and education.

Improving Emotion Aware Facial Recognation with Integrated Feature Statergies

Discussion

Member takes

Implication

Key Points

Cite This Study

Improving Emotion Aware Facial Recognation with Integrated Feature Statergies

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider