Enhancing Homeopathic Consultations Through Real-Time Emotion Recognition: A Deep Learning Approach

Author(s)	Abhijeet Suryavanshi, Arpana Chopade
Country	India
Abstract	Emotion recognition plays a vital role in understanding patient well-being, especially in homeopathic practice where mental and emotional states are crucial for diagnosis and treatment. This paper presents the development and implementation of a real-time emotion recognition application specifically designed for homeopathic doctors. The application integrates GUI and a pre-trained deep learning model to detect and display patients' emotions during consultations. The system aims to provide homeopathic doctors with additional insights into their patients' emotional states, aiding in more accurate and personalized treatment plans.
Keywords	Homeopathy , Emotion recognition, Deep Learning, FER, Real-Time, Patient care, Computer Vision, Technology Integration
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-31
Cite This	Enhancing Homeopathic Consultations Through Real-Time Emotion Recognition: A Deep Learning Approach - Abhijeet Suryavanshi, Arpana Chopade - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21473
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.21473
Short DOI	https://doi.org/gtw6rk

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