Prototype of a Multimodal Platform Including EEG and HRV Measurements Intended for Neuroergonomics Applications
2025
Awad M. Aljuaid
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&rsquo: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&rsquo:s BI dashboard. The design is flexible, offering two wearable forms: a headband and an armband. Prototype testing demonstrates the system&rsquo:s ability to detect stress and drowsiness effectively, paving the way for safer and more productive workplace environments.
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