Emota, Facial Recognition and Emotion Detection Methods and Techniques

SW-20019

Background

Facial recognition technology is a growing area of interest, where researchers are using these new application for study in psychology, response marketing and product testing, among others. There are also applications where the use of facial image capture and analysis that can be used to create new methods for control, mediation and integration of personalized information into web based, mobile apps and standalone system for media content interaction. 

Technology Overview

Facial recognition is a field of software engineering that leverages algorithms to extract features and analyze for facial recognition and emotion detection. In this technology, techniques like image processing and image database query analysis and comparison are used to do the facial recognition and emotion detection besides this a feature analysis, vector mapping, and elastic bunch graph mapping are also used to make it more effective. 

This work explores the application of facial recognition with emotion detection, to create experiences within these domains. For mobile media applications, personalized experiences can be layered personal communication. 

Our current software implementation can detect smiles, sadness, frowns, disgust confusion, and anger.

Benefits

• Can be used as a stand-alone turn-key system
• Can also be used in cloud-based API, where access can be granted via license to other parties
• Can be integrated into any environments and domains

Applications

• Facial recognition using image processing and image database query analysis and comparison. 
• Emotion detection using image processing and image database query analysis and comparison
• Facial recognition and emotion detection using feature analysis, vector mapping, and elastic bunch graph mapping. 
• Use as a control for home environments
• Use as a control system for interactive art and media installations

Opportunity

• License
• Partnering
• Research collaboration