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Data · dataset · 2025

CL-Drive (Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines)

Listed in Borealis

CL-Drive is a driver cognitive load assessment dataset that contains Electroencephalogram (EEG) signals along with other physiological signals such as Electrocardiography (ECG) and Electrodermal Activity (EDA), and eye tracking data.

Description

We have used Muse S headband with 4 channels to collect EEG data, shimmers to collect ECG and EDA data and Tobii to collect Gaze data. The data is collected from 21 participants during driving in an immersive simulated vehicle.

The participants drove in different driving conditions to induce 9 cognitive load levels and the duration for each complexity level is 3 minutes. Please view our paper "Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement" for more details. Paper Link: arxiv.org/abs/2304.04273

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Where it is published

Catalogue records · 1

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Stated by source
Engineering
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/JJ2YZZ13 d agoJSON v1
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