Artificial Intelligence-Based Classification of Human Smiles

 

Executive Summary

 

Smile classification and determining the relationship of smiles to other data such as another person’s reactions or an event occurring could be used to train any kind of customer-facing personnel such as front desk employees, trainers, and sales people. Currently no system exists that can both automatically detect smiles and classify individual smile episodes.

 

Description of Technology

 

This technology takes raw index outputs from the Google Joy Detection algorithm (or any similar algorithm with image processing capabilities) and produces a characterization of smiles in the image. It can determine the relationship between smiles from two or more individuals to determine the “emotional leader” and contagious effects.

 

Key Benefits

  • New data type This technology provides data that no other technology provides that would be useful for a wide range of applications.
  • Simple system Only indices of the measured data leave the system. Processing of these indices to produce output data occurs on the cloud.
  • Flexible use The physical box is quite small and can be used in a wide variety of scenarios.

 

Applications

  • Sales and marketing training
  • Front desk and receptionist training
  • Training for instructors
  • Evaluation of focus groups
  • Over-the-counter in shops and hospitality business
  • Evaluation of screen testing and acting
  • Evaluation of video resumes
  • Evaluate of advertisement campaigns
  • Monitoring elderly
  • Monitoring of kids to detect early onset of autism
  • Employee moods in meetings
  • Evaluating the effects of political speeches and polarization

 

IP Status 

 

Software copyright

 

Licensing Rights Available

 

Full rights available

 

Inventors:

 

Subir Biswas

 

Tech ID

 

TEC2018-0004

 

Patent Information:

Category(s):

For Information, Contact:

Raymond Devito
Technology Manager
Michigan State University
devitora@msu.edu
Inventors:
Subir Biswas
Keywords: