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Flow chart of hybrid BCI research, including data acquisition (16‐channel EEG signals of the brain and 8‐channel EMG signals of the right lower limb), processing, signal fusion, experimental testing, and the final performance evaluation.
Source publication
Hybrid neurophysiological signals, such as the combination of electroencephalography (EEG) and electromyography (EMG), can be used to reduce road traffic accidents by obtaining the driver's intentions in advance and accordingly applying appropriate auxiliary controls. However, whether they can be used in combination and can achieve better results i...
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Citations
... Because of the advantages of the priori early appearance of EEG, researchers are paying more attention to use the EEGbased brain-computer interfaces (BCIs) to develop IADS [11]. To overcome shortcomings of existing BCIs, the hybrid BCIs, generally being the composition of different biological signals, are also proposed [12], which can overall be categorized into two types. ...
Abstract—The driver’s state and behavior are crucial for thedriving process, which affect the driving safety directly orindirectly. Electroencephalography (EEG) signals have theadvantage of predictability and have been widely used to detectand predict the users’ states and behaviors. Accordingly, theEEG-based driver state and behavior detection, which can beintegrated into the intelligent vehicles, is becoming the hotresearch topic to develop an intelligent assisted driving system(IADS). In this paper, we systematically reviewed the EEG-baseddriver state and behavior detection for intelligent vehicles. First,we concluded the most popular methods for EEG-based IADS,including the algorithms of the signal acquisition, preprocessing,signal enhancement, feature calculation, feature selection,classification, and post-processing. Then, we surveyed theresearch on separate EEG-based driver state detection and thedriver behavior detection, respectively. The research on EEG-based combinations of driver state and behavior detection wasfurther reviewed. For the review of these studies of driver state,behavior, and combined state and behavior, we not only definedthe related fundamental information and overviewed theresearch on single EEG-based brain-computer interface (BCI)applications, but also further explored the relevant researchprogress on the EEG-based hybrid BCIs. Finally, we thoroughlydiscussed the current challenges, possible solutions, and futureresearch directions.
