Hi Sabahat Nadeem,

you can use Face Tales. It is very useful and free. 

http://www.ipsp.ucl.ac.be/recherche/projets/FaceTales/fr/Telechargement.htm

I hope this will help you.

Héline

Yes I would say face tales is best

Thanks but the download link is not working. may be I should try at some other time...

Yes you should try again. It works!

Thanks Héline Zabeau

I tried it its appriciable but

I think its best made for its purpose

What I meant was i want to detect the emotions of a computer user from webcam in real time and I think there is no software free of cost for this purpose.

@Damien Dupre!

Thanks for your answer I do contact them. but the rep says trial version cannot be used in research work

Hi Sabahat,

there are several commercial software options. I did work with this and that is based on a pretty good training:

http://emotient.com/solutions/academic-research/

These are other options:

http://www.affectiva.com/solutions/affdex/ 

http://www.nviso.ch 

And I guess that this one is free:

http://www.iis.fraunhofer.de/en/ff/bsy/tech/bildanalyse/shore-gesichtsdetektion.html

Hope that helps, let me know if you have questions!

Best,

Hedwig

Hi Sabahat Nadeem,

If you go with a software that is out of the box you may not be able to edit it. It sounds like you want this for your thesis, so you will most likely have to introduce some novelty to the system. All of the items mentioned here are generally open source and free. A good baseline system would be to:

1. Extract the faces with Viola and Jones (out of the box from OpenCV)

2. Align the faces with ASM (available as iBug tracker)

3. Extract some features using the ASM points or local binary patterns (download from Google)

4. Then apply a machine learning algorithm. (WEKA)

There is a plethora of publicly available data to get started. EDIT: Data sets are JAFFE, CK+, MMI, MPLAB's Genki

Good luck,

Albert Cruz, Ph.D.

@Albert Cruz

Will you please elaborate a little bit more about usage of the listed options.

I want to design an application that can detect mood and emotions of user from his face expressions. Please let me know if the listed options are suitable for such purpose.

Furthermore, i want this for my MS thesis project so, if any copyright issues are there i would be able to state the use of these softwares in research paper. 

Kindly porvide your valuable comments on the mentioned issues.

hey

you can use affectiva SDK for emotion detection and there so many other sdks available on the net such as face reader.

but if you need an open source tool, you can use Cambridge Face Tracker which is available on GitHub

good luck

https://github.com/TadasBaltrusaitis/CLM-framework

I recommend Crowdsight SDK. It can process several subjects faces simultaneously.And now I'm studying my own solution.

I hace the same problem than Candan, did you found some one free?

Did you find what are you looking for free? Because I am looking for the same thing ，I need  it very much ,Please tell me ,If you have it.

@Candan Erim, @Mario Subías, @Han Jinqiu Dear all!

I was able to solve my problem by contacting CEO of quantumn lab company. I requested for free version of the software for research purposes. They provided me with an API where I can send image file using CURL and get response in real time.

@Candan Erim

@Candan Erim , Mario Subías , Han Jinqiu and Sabahat Nadeem: Hello to all,

I have the same problem

Did you find what are you looking for free? Because I am looking for the same thing for my master thesis too.

I need it too , kindly let me know how can I get it?

I need student emotion open source code , API which is free and modify as per my need

I think the go-to non-commercial (open source) tool is OpenFace: https://github.com/TadasBaltrusaitis/OpenFace

If you want to widen your scope from the face a bit (much of emotion research has focues on facial recognition), have a look at OpenPose as well: https://github.com/CMU-Perceptual-Computing-Lab/openpose

For the voice, consider OpenSmile: https://www.audeering.com/research/opensmile/

As concerns commercial systems for facial expression recognition, we, e.g., did a comparison of 8 commercial classifiers a while ago:

Article A performance comparison of eight commercially available aut...

as well as: Article Human and machine validation of 14 databases of dynamic faci...

for the voice, have a look at, e.g., this recent paper in Emotion Review (Schuller & Schuller, 2020): Article A Review on Five Recent and Near-Future Developments in Comp...