CogniDron-EEG: A system based on a brain-computer interface and a drone for cognitive training

被引:5
|
作者
Cervantes, Jose-Antonio [1 ]
Lopez, Sonia [1 ,4 ]
Molina, Jahaziel [2 ]
Lopez, Francisco [1 ]
Perales-Tejeda, Monica [1 ]
Carmona-Frausto, Jesus [3 ]
机构
[1] Univ Guadalajara, Dept Comp Sci & Engn, Ameca 46600, Mexico
[2] Univ Guadalajara, Lab Neuropsychol, Ameca 46600, Mexico
[3] Inst Tecnol Ciudad Victoria, Tecnol Nacl Mexico, Div Grad Studies & Res, Victoria City 87010, Mexico
[4] Univ Guadalajara, Rd Guadalajara Ameca Km 45-5, Ameca 46600, Mexico
来源
关键词
Brain-computer interface; Unmanned aerial vehicles; Neurofeedback; Attention deficit-hyperactivity disorder; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; SERIOUS GAMES; CHILDREN;
D O I
10.1016/j.cogsys.2022.11.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The need for engaging treatment approaches in mental health care has led to the developing of new applications based on serious game approaches. These approaches have facilitated the development of promising tools for dealing with attention deficit hyperactivity disorder. This paper presents a novel system called CogniDron-EEG. This system is based on a brain-computer interface for flying indoor a drone for cognitive training purposes. We conducted a controlled trial with ten healthy children aged 7-14 to test the functional suitability and usability of the CogniDron-EEG system. Also, this study allowed us to evaluate the preference between our system and another system based on video games. Therefore, participant subjects used our CogniDron-EEG system and a system called Nexus to identify the users' preferences concerning these two systems. The findings suggest that participants were satisfied with the CogniDron-EEG and provide the basis for further development and research on the CogniDron-EEG system. Therefore, the proposed system in this paper opens a new branch of research on drones to study their advantages and disadvantages of using them for cognitive training purposes. Additionally, implications for developing human-robot interaction and serious games in the mental health context are discussed.
引用
收藏
页码:48 / 56
页数:9
相关论文
共 50 条
  • [31] Wearable in-the-ear EEG system for SSVEP-based brain-computer interface
    Ahn, J. W.
    Ku, Y.
    Kim, D. Y.
    Sohn, J.
    Kim, J. -H.
    Kim, H. C.
    ELECTRONICS LETTERS, 2018, 54 (07) : 413 - +
  • [32] ON A GAMIFIED BRAIN-COMPUTER INTERFACE FOR COGNITIVE TRAINING OF SPATIAL WORKING MEMORY
    Liu, Ziming
    Bryan, Jonathan
    Borkoski, Robert
    Yuan, Fengpei
    Li, Yansong
    Zhao, Xiaopeng
    PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE, DSCC2020, VOL 1, 2020,
  • [33] Multifactor Authentication System Using Simplified EEG Brain-Computer Interface
    Bialas, Katarzyna
    Kedziora, Michal
    Chalupnik, Rafal
    Song, Houbing Herbert
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (05) : 867 - 876
  • [34] A comprehensive review of EEG-based brain-computer interface paradigms
    Abiri, Reza
    Borhani, Soheil
    Sellers, Eric W.
    Jiang, Yang
    Zhao, Xiaopeng
    JOURNAL OF NEURAL ENGINEERING, 2019, 16 (01)
  • [35] EEG-Based Brain-Computer Interface for Control of Assistive Devices
    Kapralov, Nikolay, V
    Ekimovskii, Jaroslav, V
    Potekhin, Vyacheslav V.
    CYBER-PHYSICAL SYSTEMS AND CONTROL, 2020, 95 : 536 - 543
  • [36] An EEG-based Brain-Computer Interface for Attention State Recognition
    Tang, Yongchao
    Huang, Haiyun
    2020 INTERNATIONAL SYMPOSIUM ON AUTONOMOUS SYSTEMS (ISAS), 2020, : 100 - 104
  • [37] Prosthetic control by an EEG-based brain-computer interface (BCI)
    Guger, C
    Harkam, W
    Hertnaes, C
    Pfurtscheller, G
    ASSISTIVE TECHNOLOGY ON THE THRESHOLD OF THE NEW MILLENNIUM, 1999, 6 : 590 - 595
  • [38] An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess
    Choi, Jin Woo
    Rho, Eojin
    Huh, Sejoon
    Jo, Sungho
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 129 - 134
  • [39] An enhancement of EEG-based brain-computer interface communication software
    Yamawaki, Nobuyuki
    NEUROSCIENCE RESEARCH, 2009, 65 : S182 - S182
  • [40] Hybrid Brain-Computer Interface (BCI) based on the EEG and EOG signals
    Jiang, Jun
    Zhou, Zongtan
    Yin, Erwei
    Yu, Yang
    Hu, Dewen
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (06) : 2919 - 2925