Human Emotion Recognition Computer Vision Project
Updated a year ago
489
views33
downloadsHere are a few use cases for this project:
-
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.
-
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.
-
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.
-
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.
-
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-12-22 },
}