We have a recommendation system based on emotion recognition and we have doubts about which algorithm we have to use. according to our currency search, we have found some classifiers such as ROI for detecting facial areas and 3NN MLP for emotion classify process.
Since we are new in this ML we really need help and advice for this topic.
Thank you.
try reading this article, you may get somethings related to your work..
http://www.ehu.eus/ccwintco/uploads/e/eb/PFC-IonMarques.pdf
There is a possibility that you develop your own algorithm. What do you need for it?
* sufficiently large database of annotated facial expressions
* when you have none, you can build your own from a video recording of people changing facial expressions
* you will extract features, positions of special points at the face -- this you know how to do better than me
* you use AI and ML techniques to distill changes in features that correspond with given emotional states
* you can go for static evaluation of features
* or you can go to dynamic evaluation
It all sounds like a really interesting project. What I can recommend to you is to learn how biosignals are processed using complex systems and AI & ML techniques. It can give you a big kick in hoe to proceed in your case.
All the best :-)
OpenCV -'real time computer vision library', perfect for that.
there are 100 of articles available for it, just read some.
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