Speech Imagery BCI Training Using Game with a Purpose

被引:0
|
作者
Selim, Abdulrahman Mohamed [1 ]
Rekrut, Maurice [1 ]
Barz, Michael [1 ,2 ]
Sonntag, Daniel [1 ,2 ]
机构
[1] German Res Ctr Artificial Intelligence DFKI, Saarbrucken, Germany
[2] Carl von Ossietzky Univ Oldenburg, Oldenburg, Germany
关键词
BCI; EEG; Imagined speech; Game with a purpose (GWAP); User study;
D O I
10.1145/3656650.3656654
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Games are used in multiple fields of brain-computer interface (BCI) research and applications to improve participants' engagement and enjoyment during electroencephalogram (EEG) data collection. However, despite potential benefits, no current studies have reported on implemented games for Speech Imagery BCI. Imagined speech is speech produced without audible sounds or active movement of the articulatory muscles. Collecting imagined speech EEG data is a time-consuming, mentally exhausting, and cumbersome process, which requires participants to read words off a computer screen and produce them as imagined speech. To improve this process for study participants, we implemented a maze-like game where a participant navigated a virtual robot capable of performing five actions that represented our words of interest while we recorded their EEG data. The study setup was evaluated with 15 participants. Based on their feedback, the game improved their engagement and enjoyment while resulting in a 69.10% average classification accuracy using a random forest classifier.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback
    Yu, Tianyou
    Xiao, Jun
    Wang, Fangyi
    Zhang, Rui
    Gu, Zhenghui
    Cichocki, Andrzej
    Li, Yuanqing
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2015, 62 (07) : 1706 - 1717
  • [2] Motor Imagery Based BCI for a Maze Game
    Bordoloi, Simanta
    Sharmah, Ujjal
    Hazarika, Shyamanta M.
    4TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN COMPUTER INTERACTION (IHCI 2012), 2012,
  • [3] Analysis and classification of speech imagery EEG for BCI
    Wang, Li
    Zhang, Xiong
    Zhong, Xuefei
    Zhang, Yu
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2013, 8 (06) : 901 - 908
  • [4] Analysis and classification of hybrid BCI based on motor imagery and speech imagery
    Wang, Li
    Liu, Xiaochu
    Liang, Zhongwei
    Yang, Zhao
    Hu, Xiao
    MEASUREMENT, 2019, 147
  • [5] Impacts of simplifying articulation movements imagery to speech imagery BCI performance
    Guo, Zengzhi
    Chen, Fei
    JOURNAL OF NEURAL ENGINEERING, 2023, 20 (01)
  • [6] Active training paradigm for motor imagery BCI
    Li, Junhua
    Zhang, Liqing
    EXPERIMENTAL BRAIN RESEARCH, 2012, 219 (02) : 245 - 254
  • [7] Active training paradigm for motor imagery BCI
    Junhua Li
    Liqing Zhang
    Experimental Brain Research, 2012, 219 : 245 - 254
  • [8] Conceptual Priming for In-game BCI Training
    Kosmyna, Nataliya
    Tarpin-Bernard, Franck
    Rivet, Bertrand
    ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2015, 22 (05)
  • [9] Speech training for neurological patients using a serious game
    Ganzeboom, Mario
    Bakker, Marjoke
    Beijer, Lilian
    Rietveld, Toni
    Strik, Helmer
    BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2018, 49 (04) : 761 - 774
  • [10] A Game with a Purpose for Automatic Detection of Children's Speech Disabilities Using Limited Speech Resources
    Elhady, Reem
    Elmahdy, Mohamed
    Hamed, Injy
    Abdennadher, Slim
    ARABIC LANGUAGE PROCESSING: FROM THEORY TO PRACTICE, 2018, 782 : 79 - 89