Anticipatory EEG Signals for Detecting and Classifying Game Interaction Onset

被引：1

作者：

Gomes, Alexandre ^{[1
,3
]}

Filho, Iraquitan ^{[1
]}

Santos, Fredson ^{[1
,2
]}

Lira, Wallace ^{[1
]}

Gomes, Bruno ^{[2
]}

Carvalho, Schubert R. ^{[1
]}

机构：

[1] Vale Inst Technol, Belem, Para, Brazil

[2] Fed Univ Para, Inst Biol Sci, BR-66059 Belem, Para, Brazil

[3] Fed Univ Para, Fac Comp, BR-66059 Belem, Para, Brazil

来源：

2015 XVII SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY | 2015年

关键词：

BCI; anticipation; game interaction;

D O I：

10.1109/SVR.2015.12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we propose to investigate the presence of anticipatory patterns in electroencephalography (EEG) signals while driving a virtual car to determine two specific actions (1) turn left and (2) turn right, a few milliseconds before such actions take place. Our results show the feasibility of using anticipatory brain signals for detecting and classifying game interaction before it happens.

引用

页码：31 / 32

页数：2

共 50 条

[31] Classifying driving fatigue based on combined entropy measure using EEG signals
Gao, Junfeng (junfengmst@163.com), 1600, Science and Engineering Research Support Society (09):
[32] A novel module based approach for classifying epileptic seizures using EEG signals
Sood, Meenakshi
Bhooshan, Sunil V.
2016 INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS AND COMPUTER SYSTEMS (CIICS), 2016,
[33] An Approach to Detecting and Eliminating Artifacts from the Sleep EEG Signals
Sekkal, Rym Nihel
Bereksi-Reguig, Fethi
Dib, Nabil
Ruiz-Fernandez, Daniel
BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2020), 2020, 12108 : 155 - 160
[34] S-transform and ANFIS for detecting and classifying the vibration signals of induction motor
Gnanaprakasam, C. N.
Chitra, K.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 29 (05) : 2073 - 2085
[35] Asynchronous Detection of Trials Onset from Raw EEG Signals
Lopez-Gordo, M. A.
Murcia, M. D. Grima
Padilla, Pablo
Pelayo, F.
Fernandez, E.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2016, 26 (07)
[36] FOCUS: Detecting ADHD Patients by an EEG-Based Serious Game
Alchalabi, Alaa Eddin
Shirmohammadi, Shervin
Eddin, Amer Nour
Elsharnouby, Mohamed
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 67 (07) : 1512 - 1520
[37] Classifying Motor Imagery EEG Signals by Iterative Channel Elimination according to Compound Weight
He, Lin
Gu, Zhenghui
Li, Yuanqing
Yu, Zhuliang
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II, 2010, 6320 : 71 - 78
[38] Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications
Taran, Sachin
Bajaj, Varun
Sharma, Dheeraj
Siuly, Siuly
Sengur, A.
MEASUREMENT, 2018, 116 : 68 - 76
[39] Combining Spatial Filtering and Wavelet Transform for Classifying Human Emotions Using EEG Signals
Murugappan, Murugappan
Nagarajan, Ramachandran
Yaacob, Sazali
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2011, 31 (01) : 45 - 51
[40] Predicting numerical data entry errors by classifying EEG signals with linear discriminant analysis
Lin, Cheng-Jhe
Wu, Changxu
BEHAVIOUR & INFORMATION TECHNOLOGY, 2015, 34 (08) : 787 - 798

← 1 2 3 4 5 →