Emotion-recognition and Live-Emotion-Recognition-Web-App

Emotion-recognition

Established

Live-Emotion-Recognition-Web-App

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 5/25

Maturity 16/25

Community 15/25

Stars: 1,222

Forks: 375

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 12

Forks: 4

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stale 6m No Package No Dependents

About Emotion-recognition

otaha178/Emotion-recognition

Real time emotion recognition

This tool helps analyze human facial expressions in real-time video streams, identifying emotions like happiness, anger, and more. It takes live camera footage of a person's face and outputs the likelihood of various emotions being displayed at that moment. This is useful for researchers studying non-verbal communication, UX designers observing user reactions, or marketers assessing engagement.

facial-analysis market-research user-experience psychology-research human-computer-interaction

About Live-Emotion-Recognition-Web-App

Abhradipta/Live-Emotion-Recognition-Web-App

A Live Feed Facial Emotion Detection Web Application.

This application helps you monitor and understand emotional responses from live video feeds. It takes a real-time video stream as input and identifies seven core human emotions: angry, disgusted, fearful, happy, neutral, sad, and surprised. This is ideal for professionals in market research, customer experience, or driver safety looking to gauge emotional reactions.

customer-experience market-research driver-monitoring emotional-intelligence human-computer-interaction

Related comparisons

Emotion-recognition and emotion-recognition-neural-networks Emotion-recognition and Emotion-detection Emotion-recognition and Facial_Expression_Recognition

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