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A high-performance general computer cursor control scheme based on a hybrid BCI combining motor imagery and eye-tracking.
Zhang, Jiakai; Zhang, Yuqi; Zhang, Xinlong; Xu, Boyang; Zhao, Huanqing; Sun, Tinghui; Wang, Ju; Lu, Shaojie; Shen, Xiaoyan.
Afiliación
  • Zhang J; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Zhang Y; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Zhang X; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Xu B; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Zhao H; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Sun T; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Wang J; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Lu S; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Shen X; School of Information Science and Technology, Nantong University, Nantong 226019, China.
iScience ; 27(6): 110164, 2024 Jun 21.
Article en En | MEDLINE | ID: mdl-38974471
ABSTRACT
This study introduces a novel virtual cursor control system designed to empower individuals with neuromuscular disabilities in the digital world. By combining eye-tracking with motor imagery (MI) in a hybrid brain-computer interface (BCI), the system enhances cursor control accuracy and simplicity. Real-time classification accuracy reaches 87.92% (peak of 93.33%), with cursor stability in the gazing state at 96.1%. Integrated into common operating systems, it enables tasks like text entry, online chatting, email, web surfing, and picture dragging, with an average text input rate of 53.2 characters per minute (CPM). This technology facilitates fundamental computing tasks for patients, fostering their integration into the online community and paving the way for future developments in BCI systems.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos