Source code for AffdexMe for Android
-
Updated
Nov 16, 2015 - Java
Source code for AffdexMe for Android
Maltab code for extraction of Mel Frequency Cepstral Coefficients
A proof of concept of a facial emotion recognition-based social network for Hack the North 2016.
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
Code for a human-aware music-playing robot
A deep neural network system that recognizes 6 basic emotions: angry, disgust, fear, happy, sad, surprise, and neutral.
Identify emotions in facial expression with this easy REST API.
Bimodal emotion recognition through facial expressions and speech
Simple demostration of Cognitive Services' Emotion API which can capture web cam photo to analysis emotion with Cognitive Services
In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted
Introduction to Deep Learning using Keras - HackPSU 2017 Workshop Repository
Emotion Detection using CNN and LSTM
Arabic - English emotion lexicon
This python module will recognize emotions in video sequences using optical flow and machine learning techniques.
Machine learning project for CS 403
Currently evaluating candidates is a time consuming process. While evaluations are still something that has to be done by people, we want to streamline and automate the process of consolidating multiple evaluations and generating an analysis of the evaluations. An automated sentiment measurement tool and summarizer.
Streamline and automate the process of consolidating multiple evaluations by different Hiring managers, Technical Leads, Team Leads in the candidate hiring process and generate an analysis of the all the evaluations to make hiring decisions easily and effectively.
Emotion recognition from face
Add a description, image, and links to the emotion-recognition topic page so that developers can more easily learn about it.
To associate your repository with the emotion-recognition topic, visit your repo's landing page and select "manage topics."