Assignments and Projects done in summer elective on Neural Networks.
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Updated
Jul 18, 2016 - Yacc
Assignments and Projects done in summer elective on Neural Networks.
A deep neural network system that recognizes 6 basic emotions: angry, disgust, fear, happy, sad, surprise, and neutral.
Bimodal emotion recognition through facial expressions and speech
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
Facial Emotion detection with Django
Feature Expression Detection for public User Satisfaction Measurement Analysis
Implementation of a few prevelant computer vision techniques using Python
AIND Computer Vision project: Mimic Me!
Greedy Search for Descriptive Spatial Face Features
A combination of the openCV library and the Azure cognitive services, and the emotion api.
Deep learning API with facial expression recognition using KERAS
This code is using FER2013 dataset with keras library and tensorflow backend. This code was fork and modified for keras with tensorflow backend from https://github.com/LamUong/FacialExpressionRecognition
Facial expression recognization of video
FERS is desktop application built in Python which detect faces, extract facial features & recognizes basic human emotion. It also triggered songs according to emotion recognized
Code for extended LBP operators and geometric-based feature descriptors in ACIIDS2016
Some machine learning applications
Facial Expression Recognition using Neural Netwroks
An undergraduate project to evaluate classifiers for facial expression recognition.
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