Group Emotion Recognition - De 1.0
Free Version
Publisher Description
This project aims to classify a group’s perceived emotion as Positive, Neutral or Negative.
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
Our solution is a pipeline based approach which integrates two modules (that work in parallel): bottom-up and top-down modules, based on the idea that the emotion of a group of people can be deduced using both bottom-up and top-down approaches.
- The bottom-up module detects and extracts individual faces present in the
image and passes them as input to an ensemble of pre-trained Deep
Convolutional Neural Networks (CNNs).
- Simultaneously, the top-down module detects the labels associated with the
scene and passes them as input to a Bayesian Network (BN) which predicts
the probabilities of each class.
- In the final pipeline, the group emotion category predicted by the bottom-up
module is passed as input to the Bayesian Network in the top-down module
and an overall prediction for the image is obtained.
About Group Emotion Recognition - De
Group Emotion Recognition - De is a free app for Android published in the Teaching & Training Tools list of apps, part of Education.
The company that develops Group Emotion Recognition - De is Project Gita. The latest version released by its developer is 1.0.
To install Group Emotion Recognition - De on your Android device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2019-07-18 and was downloaded 3 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Group Emotion Recognition - De as malware as malware if the download link to com.hanuman.groupemotionrecognition is broken.
How to install Group Emotion Recognition - De on your Android device:
- Click on the Continue To App button on our website. This will redirect you to Google Play.
- Once the Group Emotion Recognition - De is shown in the Google Play listing of your Android device, you can start its download and installation. Tap on the Install button located below the search bar and to the right of the app icon.
- A pop-up window with the permissions required by Group Emotion Recognition - De will be shown. Click on Accept to continue the process.
- Group Emotion Recognition - De will be downloaded onto your device, displaying a progress. Once the download completes, the installation will start and you'll get a notification after the installation is finished.
