Title :
Conceptual adaptive data model supporting effective education integrating biomedical signals
Author :
Plechawska-Wojcik, Malgorzata
Author_Institution :
Inst. of Comput. Sci., Lublin Univ. of Technol., Lublin, Poland
Abstract :
The main issue of the paper is the need of enriching education of modern tools enhancing the learning process complying to individual preferences and abilities of the learner. The paper presents the conceptual adaptive data model dedicated for the serious computer game. The model applies biomedical indicators and stimuli affecting the ability of learning and concentration.
Keywords :
biomedical education; learning (artificial intelligence); medical signal processing; serious games (computing); biomedical education; biomedical indicator; biomedical signal; conceptual adaptive data model; learning process; serious computer game; Adaptation models; Biological system modeling; Brain modeling; Data models; Electroencephalography; Games; Support vector machines; Bayesian network; adaptive data model; biomedical signals; conceptual model; electroencephalogram (EEG); emotion recognition; serious games;
Conference_Titel :
Human System Interactions (HSI), 2015 8th International Conference on
Conference_Location :
Warsaw
DOI :
10.1109/HSI.2015.7170645
