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Multitask-Oriented Brain-Controlled Intelligent Vehicle Based on Human-Machine Intelligence Integration
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AI
DOI：10.1109/TSMC.2022.3212744.png)
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Abstract
En 中文
Brain-controlled intelligent vehicles (BCIVs) refer to intelligent vehicles, where brain-computer interfaces (BCIs) are applied to help a person operate (or teleoperate) a vehicle by decoding human intention from brain signals. Existing studies on BCIVs are focused on the single-task operation scenario. Considering that the multitask operation is common in practice, in this article, we design a multitask-oriented BCIV system for the first time by integrating a novel neural decoding method of driver-secondary-task intention with an adaptive brain-machine collaborative controller. We build an experimental platform of the proposed multitask-oriented BCIV system and test the performance of both the primary and secondary tasks by human-and-hardware-in-the-loop experiments. Experimental results show that the proposed multitask-oriented BCIV system performs well. This work has essential values in moving the exploration of brain-controlled systems toward a new step of the multitask operation and opens a new avenue for cognitive neuroscience to be applied to intelligent systems and human-machine integration.
Keywords:
Brain-computer interface (BCI)
controller
EEG
human factor
human-machine integration
intelligent vehicle (IV)
multitask
neural decoding
Journal
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10.5
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1.1W
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