Prototype of a Multimodal Platform Including EEG and HRV Measurements Intended for Neuroergonomics Applications

Drowsiness and stress greatly influence worker health and productivity and workplace safety. Conflict between workplace expectations and employee control results in stress, which causes mental and physical reactions that affect performance and raise the risk of accidents at work. A common precursor to inadvertent drowsiness increases workplace risks and costs due to lost productivity and accidents. Developments in the interdisciplinary subject of neuroergonomics enable the creation of novel systems to track and minimize these issues. This work introduces prototype testing to demonstrate the system’s ability to detect stress and drowsiness. Along with other indicators such as body temperature, heart rate (HR), and SpO2 levels, the system incorporates electroencephalography (EEG) and heart rate variability (HRV). By analyzing these biosignals, the system detects stress and drowsiness in real time, providing alerts to both users and the supervisor’s BI dashboard. The design is flexible, offering two wearable forms: a headband and an armband. Prototype testing demonstrates the system’s ability to detect stress and drowsiness effectively, paving the way for safer and more productive workplace environments.

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Publication Details

Journal
Processes
Published
2025-04-03
DOI
https://doi.org/10.3390/pr13041074
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43

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article

Prototype of a Multimodal Platform Including EEG and HRV Measurements Intended for Neuroergonomics Applications

Awad M. Aljuaid
1 citations
Processes
EEG and Brain-Computer Interfaces
1.43
article

Prototype of a Multimodal Platform Including EEG and HRV Measurements Intended for Neuroergonomics Applications

Awad M. Aljuaid
article en
1 citations

Abstract

Drowsiness and stress greatly influence worker health and productivity and workplace safety. Conflict between workplace expectations and employee control results in stress, which causes mental and physical reactions that affect performance and raise the risk of accidents at work. A common precursor to inadvertent drowsiness increases workplace risks and costs due to lost productivity and accidents. Developments in the interdisciplinary subject of neuroergonomics enable the creation of novel systems to track and minimize these issues. This work introduces prototype testing to demonstrate the system’s ability to detect stress and drowsiness. Along with other indicators such as body temperature, heart rate (HR), and SpO2 levels, the system incorporates electroencephalography (EEG) and heart rate variability (HRV). By analyzing these biosignals, the system detects stress and drowsiness in real time, providing alerts to both users and the supervisor’s BI dashboard. The design is flexible, offering two wearable forms: a headband and an armband. Prototype testing demonstrates the system’s ability to detect stress and drowsiness effectively, paving the way for safer and more productive workplace environments.

ProcessesVol. 13(4)
Taif University (SA)
Taif University
Openalex Percentile: Top 21%
EEG and Brain-Computer Interfaces
1.43
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Prototype of a Multimodal Platform Including EEG and HRV Measurements Intended for Neuroergonomics Applications — Awad M. Aljuaid · Processes (2025) | TGRS Research Map | TGRS