Frontiers

Emotion estimation from video footage with LSTM

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...
Nature

Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques

Globally, there are nearly 70 million people with hearing impairment. Deafness leads to significant communication difficulties: deaf people can’t hear, and a majority of them are unable to use written ...
Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
Nature

A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis

Speech is one of the most efficient methods of communication among humans, inspiring advancements in machine speech processing under Natural Language Processing (NLP). This field aims to enable ...
LinkedIn

Facial Emotion Recognition with OpenCV and Deepface: Step-by-Step Tutorial

This project demonstrates the implementation of real-time facial emotion recognition using the `deepface` library and OpenCV. The objective is to capture live video from a webcam, identify faces ...
circuitdigest.com

Raspberry Pi Based Emotion Recognition using OpenCV, TensorFlow, and Keras

In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the ...