Toward Safer Vehicular Transit: Implementing Deep Learning on Single Channel EEG Systems for Microsleep Detection

Balaji, Aswin; Tripathi, Utkarsh; Chamola, Vinay; Benslimane, Abderrahim; Guizani, Mohsen

doi:10.1109/tits.2021.3125126

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…Despite the importance of micro-sleep during driving, the development of micro-sleep detection has been delayed because of too many variations in associated experiments, such as whether the study involves a simulation or real driving (Gao et al, 2019;Ko et al, 2021b), use of different physiological signals (Gao et al, 2019;Karuppusamy and Kang, 2020), and the criteria used to define micro-sleep (Gao et al, 2019;Ko et al, 2021b). On the one hand, micro-sleep is similar to NREM stage 1 during night sleep because NREM stage 1 is the transition period between wakefulness and sleep (Balaji et al, 2021). In microsleep, EEG theta activity is dominant like NREM stage 1 (Wu et al, 2013;Skorucak et al, 2020a).…”

Section: Challengementioning

confidence: 99%

2020 International brain–computer interface competition: A review

Jeong

Cho²,

Lee³

et al. 2022

Front. Hum. Neurosci.

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The brain-computer interface (BCI) has been investigated as a form of communication tool between the brain and external devices. BCIs have been extended beyond communication and control over the years. The 2020 international BCI competition aimed to provide high-quality neuroscientific data for open access that could be used to evaluate the current degree of technical advances in BCI. Although there are a variety of remaining challenges for future BCI advances, we discuss some of more recent application directions: (i) few-shot EEG learning, (ii) micro-sleep detection (iii) imagined speech decoding, (iv) cross-session classification, and (v) EEG(+ear-EEG) detection in an ambulatory environment. Not only did scientists from the BCI field compete, but scholars with a broad variety of backgrounds and nationalities participated in the competition to address these challenges. Each dataset was prepared and separated into three data that were released to the competitors in the form of training and validation sets followed by a test set. Remarkable BCI advances were identified through the 2020 competition and indicated some trends of interest to BCI researchers.

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Section: Challengementioning

confidence: 99%

2020 International brain–computer interface competition: A review

Jeong

Cho²,

Lee³

et al. 2022

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…Such induced inattention while driving can be dangerous to surround vehicles and pedestrians and cause significant accidents claiming people's lives. Those who are really drowsy during the day frequently experience microsleeps [11,12]. Microsleep can cause attention gaps that make it harder to recognise and respond to important cues and activities.…”

mentioning

confidence: 99%