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Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications
Khalida Douibi1, Solène Le Bars1, Alice Lemontey1,2
1Capgemini Engineering, Paris, France.
Frontiers in Human Neuroscience
|September 6, 2021
Summary
Brain-Computer Interfaces (BCI) using non-invasive electroencephalography (EEG) show promise for Industry 4.0 applications. This review identifies key challenges and criteria for deploying BCI outside labs.
Area of Science:
- Neuroscience and Engineering
- Human-Computer Interaction
- Industrial Technology
Background:
- Brain-Computer Interface (BCI) research has historically focused on clinical uses for disabled individuals.
- Advancements in non-invasive electroencephalographic (EEG) devices suggest BCI's potential for broader applications beyond clinical settings.
- Industry 4.0, characterized by digital tools and cyber-physical systems, presents new opportunities for BCI integration.
Purpose of the Study:
- To investigate the primary challenges associated with deploying Brain-Computer Interface applications in Industry 4.0 environments.
- To identify crucial criteria for the successful implementation of BCI technologies in industrial settings.
- To bridge the gap between laboratory BCI research and real-world industrial applications.
Main Methods:
- A comprehensive literature review was conducted.
- The review focused on studies examining non-invasive electroencephalographic (EEG) based Brain-Computer Interfaces.
- Analysis centered on identifying challenges and relevant criteria for Industry 4.0 deployment.
Main Results:
- BCI applications in Industry 4.0 aim to enhance operator cognitive load management, improve human-robot collaboration, and increase safety in critical operations.
- Significant challenges exist in transitioning BCI technology from controlled laboratory environments to dynamic industrial settings.
- Key criteria for operational deployment include robustness, usability, and adaptability to industrial workflows.
Conclusions:
- While promising, the widespread adoption of BCI in Industry 4.0 requires addressing practical implementation challenges.
- Further research and development are needed to establish standardized criteria for reliable and effective BCI solutions in industrial contexts.
- Successful BCI integration into Industry 4.0 necessitates a focus on real-world operational requirements and user-centric design.
