کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6855087 1437605 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gamers' involvement detection from EEG data with cGAAM - A method for feature selection for clustering
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Gamers' involvement detection from EEG data with cGAAM - A method for feature selection for clustering
چکیده انگلیسی
The main cognitive outcome of EEG signal analysis was a set of patterns differentiating players' involvement in a game. Conclusions included: 1. For a majority of subjects the most discriminative features were activity in the theta band in the left and right frontal areas, and activity in the delta band in the left frontal area; 2. All three features significantly differentiated between low and high, or medium and high engagement; 3. All subjects showed positive correlations between selected feature values and levels of engagement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 101, 1 July 2018, Pages 196-204
نویسندگان
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