Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Open Access

Real-Time Biometric Monitoring for Cognitive Workload Detection: A Narrative Review of Applications in High-Demand Professions

View Full Paper
Ask AI
Bookmark
Share

Authors

ROReginald O’HaraSLShelby Chase LoftisCRCynthia M. Rando

Discussion

Loading...

Member takes

Overview

Narrative review evaluates biometric monitoring methods for cognitive workload, highlighting integration with AI and safety implications.

Key Points

  • Cognitive overload can be identified in real-time through biometric monitoring, enhancing performance safety.
  • Integration of wearable sensors and AI frameworks shows promise for adaptive task scheduling in demanding jobs.
  • Ethical and privacy concerns alongside data protection are significant challenges for deploying biometric tools.
  • Further empirical research is needed to validate sensor accuracy and the effectiveness of AI-driven predictions.

Cite This Study

O’Hara et al. (2025) studied this question.

synapsesocial.com/papers/68c1d98554b1d3bfb60fb4bdhttps://doi.org/10.1101/2025.08.28.25334668
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Beyond the Lab: a Review on Neurophysiological Mental States Assessment in Real-World settings2026
  2. 2Measurement Criteria for Neurophysiological Monitoring and Neuroadaptive Interfaces2026
  3. 3Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks2024 · 45 citations
  4. 4An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors2024 · 7 citations
  5. 5Real-time mental workload assessment with low intrusiveness for assembly processes: Limits and preliminary results2025 · 1 citations