Work

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

Year: 2025

Type: article

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.

Source: Processes

DOI: 10.3390/pr13041074

Author: Awad M. Aljuaid

Institution: Taif University

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Decent work and economic growth

Open Access status: gold

Estimated APC paid: $2,896