Human Emotion Recognition Computer Vision Project
Updated a year ago
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downloadsHere are a few use cases for this project:
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Mental Health Analysis: This model could be used for developing teletherapy or e-counseling applications. By analyzing the emotional state of patients during sessions, therapists can get additional insights about their emotional health.
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Education and Learning Development: In e-learning platforms, it can analyze students' emotional response during a lesson and adapt content accordingly to improve engagement and learning outcomes.
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Customer Satisfaction Analysis: Retail or service businesses can use the model to assess customer emotions in real-time or from recorded footage to gauge customer satisfaction and improve services accordingly.
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Social Media Analysis: Social media platforms can use it to detect the emotional state of users from their uploaded images or live video streams, allowing them to tailor the user content feed accordingly.
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Interactive Entertainment and Gaming: Video game developers can use this model to evaluate players' emotional responses and adapt gameplay to achieve a better player experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
human-emotion-recognition_dataset,
title = { Human Emotion Recognition Dataset },
type = { Open Source Dataset },
author = { JNU SCSS },
howpublished = { \url{ https://universe.roboflow.com/jnu-scss/human-emotion-recognition } },
url = { https://universe.roboflow.com/jnu-scss/human-emotion-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-06 },
}