ORIGINAL RESEARCH article
Front. Bioeng. Biotechnol.
Sec. Biosensors and Biomolecular Electronics
Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1591316
This article is part of the Research TopicIntelligent Rehabilitation Technology Incorporating Multimodal Information Feedback and StimulationView all articles
Vibration Stimulation Enhances Robustness in Teleoperation Robot System with EEG and Eye-Tracking Hybrid Control
Provisionally accepted
- 1College of Computer Science and Software Engineering，Hohai University, Nanjing, China
- 2Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
- 3School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu Province, China
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The application of non-invasive brain-computer interfaces (BCIs) in robotic control is limited by insufficient signal quality and decoding capabilities. Enhancing the robustness of BCIs without increasing the cognitive load remains a major challenge in brain-control technology. This study presents a teleoperation robotic system based on hybrid control of electroencephalography (EEG) and eye movement signals, and utilizes vibration stimulation to assist motor imagery (MI) training and enhance control signals. A control experiment involving eight subjects was conducted to validate the enhancement effect of this tactile stimulation technique. Experimental results showed that during the MI training phase, the addition of vibration stimulation improved the brain region activation response speed in the tactile group, enhanced the activation of the contralateral motor areas during imagery of non-dominant hand movements, and demonstrated better separability (p=0.017). In the robotic motion control phase, eye movement-guided vibration stimulation effectively improved the accuracy of online decoding of MI and enhanced the robustness of the control system and success rate of the grasping task. The vibration stimulation technique proposed in this study can effectively improve the training efficiency and online decoding rate of MI, helping users enhance their control efficiency while focusing on control tasks. This tactile enhancement technology has potential applications in robot-assisted elderly care, rehabilitation training, and other robotic control scenarios.
Keywords: Brain-computer interface, vibrotactile stimulation, Motor Imagery, Teleoperation robot, Eye Tracking Vibration Stimulation in Teleoperation Robot System
Received: 11 Mar 2025; Accepted: 23 Apr 2025.
Copyright: © 2025 Zhang, Wang, Qin, Xu, Hu, Wang and Shen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tong Wang, Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
Ying Shen, Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
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