Playing Action Video Games a Key to Cognitive Enhancement

التفاصيل البيبلوغرافية
العنوان: Playing Action Video Games a Key to Cognitive Enhancement
المؤلفون: Amritha Abdul Salam, Devendra Jha, Alok Mittal, Sushil Chandra, Greeshma Sharma
المصدر: IHCI
بيانات النشر: Elsevier BV, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Computer science, Speech recognition, K Nearest Neighbor, Linear Discriminant Analysis, Machine learning, computer.software_genre, 050105 experimental psychology, Field (computer science), 03 medical and health sciences, 0302 clinical medicine, EMD, 0501 psychology and cognitive sciences, EEG, ICA, IMF, Video game, General Environmental Science, business.industry, 05 social sciences, Mode (statistics), Video gaming, Cognition, Action (philosophy), General Earth and Planetary Sciences, Artificial intelligence, business, computer, 030217 neurology & neurosurgery
الوصف: In this paper, we aim to analyse the impact of training on improvement in cognitive abilities and performance of the subjects playing single player action video game. Recent research indicates that playing Action video games improve cognitive abilities. However no study has exploited the novel technique, Empirical Mode Decomposition in the field of action video games. Empirical mode decomposition was used to extract various features by decomposing EEG data into intrinsic mode functions. Intrinsic mode functions were used to calculate linear features like standard deviation, phase and energy. K- Nearest Neighbour & Linear Discriminant Analysis classifiers were used to classify the subject based on the changes in features extracted due to the impact of training. Psychological tests conducted before and after the training, positively affirm that training improves cognitive abilities like reaction time and reduces stress level.
تدمد: 1877-0509
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27a52628e108d64da4a7a9c7e424b30
https://doi.org/10.1016/j.procs.2016.04.074
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....b27a52628e108d64da4a7a9c7e424b30
قاعدة البيانات: OpenAIRE