Emotion Recognition - Facial Expression Detection Apk
Apk Infos
| Version | Varies with device |
| Rating | 1.0/5, based on 1 votes |
| Size | 1 MB |
| Requires Android | Android 2.3+ (Gingerbread) |
| Author's Notes | An AI-based app to recognize the facial emotions of groups of people |
About Emotion Recognition - Facial Expression Detection APK
Table Of Contents
Description
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.
Latest updates
What's new in version Varies with device
Emotion RecognitionHow to install Emotion Recognition - Facial Expression Detection APK on Android phone or tablet?
Download Emotion Recognition - Facial Expression Detection APK file from ApkClean, then follow these steps:
Update Phone Settings
- Go to your phone Settings page
- Tap Security or Applications (varies with device)
- Check the Unknown Sources box
- Confirm with OK
Go to Downloads
- Open Downloads on your device by going to My Files or Files
- Tap the APK file you downloaded (com.hanuman.emotionrecognition-vVaries with device-ApkClean.apk)
- Tap Install when prompted, the APK file you downloaded will be installed on your device.
Older Versions
| Varies with device (1) | 1 MB |
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