Home / Education Apps / Emotion Recognition - Facial Expression Detection on Windows Pc

Emotion Recognition - Facial Expression Detection on Windows Pc

Developed By: Hanuman

License: Free

Rating: 1,0/5 - 1 votes

Last Updated: December 28, 2023

Compatible with Windows 10/11 PC & Laptop

App Details

Version	Varies with device
Size	1 MB
Release Date	March 02, 19
Category	Education Apps
What's New: Emotion Recognition [see more]
Description from Developer: This project aims to classify a group’s perceived emotion as Positive, Neutral or Negative. The dataset being used is the Group Affect Database 3.0 which contains "in the wild... [read more]

App preview ([see all 7 screenshots])

About this app

On this page you can download Emotion Recognition - Facial Expression Detection and install on Windows PC. Emotion Recognition - Facial Expression Detection is free Education app, developed by Hanuman. Latest version of Emotion Recognition - Facial Expression Detection is Varies with device, was released on 2019-03-02 (updated on 2023-12-28). Estimated number of the downloads is more than 1,000. Overall rating of Emotion Recognition - Facial Expression Detection is 1,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Emotion Recognition - Facial Expression Detection on Windows?

Instruction on how to install Emotion Recognition - Facial Expression Detection on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Emotion Recognition - Facial Expression Detection on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Install using BlueStacks
Install using NoxPlayer

Step By Step Guide To Install Emotion Recognition - Facial Expression Detection using BlueStacks

Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
Once installed, click "Emotion Recognition - Facial Expression Detection" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Emotion Recognition - Facial Expression Detection on Windows PC using NoxPlayer

Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
The installation process will take place quickly. After successful installation, you can find "Emotion Recognition - Facial Expression Detection" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: Varies with device.

Download Emotion Recognition - Facial Expression Detection Varies with device on Windows PC – 1 MB

This project aims to classify a group’s perceived emotion as Positive, Neutral or Negative. The dataset being used is the Group Affect Database 3.0 which contains "in the wild" photos of groups of people in various social environments.

The Need for Emotion Recognition

So, first of all, why do we need emotion recognition?

Emotion recognition is important -

- To improve the user’s experience, as a customer, learner, or as a generic service user.

- Can help improve services without the need to formally and continuously ask the user for feedback.

- Also, using automatic emotion recognition in public safety, healthcare, or assistive technology, can significantly improve the quality of people’s lives, allowing them to live in a safer environment or reducing the impact that disabilities or other health conditions have.

Applications of Emotion Recognition

Emotion Recognition has applications in crowd analytics, social media, marketing, event detection and summarization, public safety, human-computer interaction, digital security surveillance, street analytics, image retrieval, etc.

The rise of Group Emotion Recognition

The problem of emotion recognition for a group of people has been less extensively studied, but it is gaining popularity due to the massive amount of data available on social networking sites containing images of groups of people participating in social events.

Challenges facing Group Emotion Recognition

Group emotion recognition is a challenging problem due to obstructions like head and body pose variations, occlusions, variable lighting conditions, variance of actors, varied indoor and outdoor settings and image quality.

Approach

My approach is based on the research paper "Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers". So, the model is basically a novel combination of deep neural networks and Bayesian classifiers. The neural network works from the bottom to the top, analysing emotions expressed by isolated faces. The Bayesian classifier estimates a global emotion integrating top-down features obtained through a scene descriptor.

Top-down approach considers the scene context, such as background, clothes, place, etc. It consists of the following steps –

- Acquiring the scene descriptors

- Setting evidences in the Bayesian Network

- Estimating the posterior distribution of the Bayesian Network

Bottom-up approach estimates the facial expressions of each person in the group –

- Face detection

- Features pre-processing

- CNN forward pass

The value obtained by the bottom-up module is then used as input to the Bayesian Network in the top layer.

Emotion Recognition