A Game Player Expertise Level Classification System Using Electroencephalography (EEG)
The success and wider adaptability of smart phones has given a new dimension to the gaming industry. Due to the wide spectrum of video games, the success of a particular game depends on how efficiently it is able to capture the end users’ attention. This leads to the need to analyse the cognitive as...
Main Authors: | Syed Muhammad Anwar, Sanay Muhammad Umar Saeed, Muhammad Majid, Saeeda Usman, Chaudhry Arshad Mehmood, Wei Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/8/1/18 |
Similar Items
-
Development and Evaluation of Dry-Contact Electroencephalography (EEG) Sensors
by: Green, Jardin
Published: (2020) -
Signal processing through electroencephalography : Independent project in electrical engineering
by: Sellergren, Albin, et al.
Published: (2016) -
Negligible motion artifacts in scalp electroencephalography (EEG) during treadmill walking
by: Kevin eNathan, et al.
Published: (2016-01-01) -
A Comparison Of Conventional Electroencephalography With Amplitude-Integrated EEG In Detection Of Neonatal Seizures
by: Kadivar M, et al.
Published: (2019-12-01) -
The wondrous eyes of a new technology – A history of the early electroencephalography (EEG) of psychopathy, delinquency, and immorality
by: Felix eSchirmann
Published: (2014-04-01)