Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.

Journal: IEEE journal of biomedical and health informatics
PMID: 36343004

Abstract

OBJECTIVE: Brain-computer interfaces (BCIs) have been used in two-dimensional (2D) navigation robotic devices, such as brain-controlled wheelchairs and brain-controlled vehicles. However, contemporary BCI systems are driven by binary selective control. On the one hand, only directional information can be transferred from humans to machines, such as "turn left" or "turn right", which means that the quantified value, such as the radius of gyration, cannot be controlled. In this study, we proposed a spatial gradient BCI controller and corresponding environment coordinator, by which the quantified value of brain commands can be transferred in the form of a 2D vector, improving the flexibility, stability and efficiency of BCIs.

Authors

  • Deyu Zhang
  • Siyu Liu
    Citromax Flavors Group, Inc., 444 Washington Ave, Carlstadt, NJ, 07072, USA.
  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Guoqi Li
    University of Chinese Academy of Sciences, Beijing 100049, China.
  • Dingjie Suo
  • Tiantian Liu
    Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China.
  • Jiawei Luo
  • Zhiyuan Ming
  • Jinglong Wu
  • Tianyi Yan
    School of Life Science, Beijing Institute of Technology, Beijing 100084, China. Electronic address: yantianyi@bit.edu.cn.

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