The assembly line stands as a cornerstone of modern industrial production, vital for manufacturing a diverse array of products. However, the efficiency of the assembly line hinges significantly on the physical and mental well-being of its workforce. Operating in a repetitive and demanding environment, assembly line personnel often experience fatigue, leading to reduced productivity and potential safety hazards. Fatigue among assembly line workers is a pervasive issue with far-reaching consequences, not only affecting workplace productivity but also posing significant risks to worker health and safety. Traditional methods of fatigue assessment, such as surveys conducted during shifts, suffer from limitations in accuracy and timeliness, hindering effective intervention strategies. To address these challenges, this dissertation explores the viability of using Brain-Computer Interface (BCI) technology as a means for real-time fatigue evaluation. Leveraging an Event-Related Potential (ERP) technique based on EEG technology, the study demonstrates how ERP techniques can detect indicators of fatigue. Utilizing an ambulatory EEG system, the research captures P300 signals (an ERP that reflects changes in cognitive load) in real-time while workers perform their regular assembly line tasks. By bypassing the biases associated with self-reported fatigue assessments, this approach provides immediate and accurate insights into worker fatigue levels, enhancing workplace safety and optimizing performance. The findings of this study offer a groundbreaking advancement in fatigue assessment methodologies, revolutionizing the management of fatigue-related risks in assembly line settings. By fostering safer and more productive work environments, the integration of BCI-based fatigue evaluation has the potential to mitigate the adverse effects of fatigue on both individual workers and overall production processes. Moving forward, further research is warranted to refine and expand the application of BCI technology in fatigue assessment across diverse occupational domains. By addressing the multifaceted challenges posed by fatigue, this research paves the way for transformative advancements in workplace safety and productivity.
