Estimation of mental load: design and implementation of signal processing algorithms from physiological sources

OData support
Supervisor:
Dr. Szegletes Luca
Department of Automation and Applied Informatics

From the mobile app stores you can download several learning applications for all ages.

These applications biggest drawback is that they hardly or don’t suit for the capatibilies of the

player. Thus, the learning will end with frustration, boredom so they qiut the application.

Our aim is that, we reach and keep up the flow feeling (which is well known from

psychology), when the difficulty of the tasks fits the players ability, she or he just can solve the

more and more difficult tasks. We also reward the player. To connect the two conception we

create a system that, with the help of biological feedback (EEG, ECG, pupil diameter) can

adjust the difficulty and make suggestions to reward the player.

Downloads

Please sign in to download the files of this thesis.