Development and evaluation of BCI for operating VR flight simulator based on desktop VR equipment |
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| Affiliation: | 1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. Shanghai Spaceflight Precision Machinery Institute, Shanghai 201600, China;1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China;2. Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China;3. Department of Construction Management, University of Houston, Houston, TX 77204, USA;1. College of Management, Shenzhen University, Shenzheng 518073, China;2. Commercial College, Xi’an International University, Xi’an 710077, China;3. CCCC Third Harbor Consultants Co., Ltd., Shanghai 200032, China;4. Institute of Transportation Studies, University of California Davis, Davis, CA 95616, USA;1. Department of Mechanical Engineering, University of Alberta, Edmonton, Canada;2. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China;1. Dept. of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA;2. Dept. of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA |
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| Abstract: | Advancement of brain-computer interface (BCI) has shown its applications in various scenarios, including flight control. Flight simulator is a crucial part for aircraft design or experiment. Desktop virtual reality (VR)-based flight is a perfect choice for overcoming existing problems in head-mounted VR flight simulations, such as dizziness and isolation, which make interaction and sharing very difficult. In this paper, a BCI based on the steady-state visual evoked potential paradigm and a VR flight simulator were developed and integrated. The performance of the developed system was evaluated quantitatively for comparative studies. Experimental results show that the developed system is very convenient and suitable for VR flight simulations. The average operating accuracies with plane and VR visual stimuli are 81.6% and 86.8%, respectively. The VR visual stimuli can improve the average operating accuracy by 5.2% compared with the plane visual stimuli. |
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| Keywords: | Brain-computer interface SSVEP Virtual reality Flight simulator |
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