Developing emotion and concepts detection algorithms for images and music.
Project aims: Implement a multiplatform software that enables to create slideshows combining images and music with the same concepts/emotions.
Start-up carrying out eye-tracking studies in a controlled environment in order to design and enhance ergonomic user interface.
Project aims: Research and devise algorithms to categorize Internet users based on the results of eye-tracking studies.
Eye-tracking is the process of measuring eye positions and eye movement. Non intrusive devices allow to record user's eye gaze during websites and mobile applications usability tests.
What are users behaviours for a same use case ?
1 behaviour = 1 class of users
How to represent these differences in behaviour ?
This project follows up on a previous one based on Areas of Interest (AOI) in a webpage : A, B, C, D...
Comparison of heat maps
Comparison of visual scan paths
1 point = 1 user
1 circle = 1 class of users
You can keep on playing of course ;) and feel free to contact me.