A Critical Survey of EEG-Based BCI Systems for Applications in Industrial Internet of Things

Ajmeria, Rahul; Mondal, Mayukh; Banerjee, Reya; Halder, Tamesh; Deb, Pallav Kumar; Mishra, Debasish; Nayak, Pravanjan; Misra, Sudip; Pal, Surjya K.; Chakravarty, Debashish

doi:10.1109/comst.2022.3232576

Cited by 11 publications

(1 citation statement)

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“…The rise of EEG-enabled IoT deployments offers new opportunities for organizations and individuals to monitor and respond to brain activities in real time. Smart wearables and EEG sensors are increasingly used for biofeedback and performance metrics, enabling the measurement of attention and autonomic nervous system (ANS) responses, crucial in the diagnosis and management of conditions such as autism and epilepsy [129].…”

Section: G Infrastructurementioning

confidence: 99%

Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects

Beyrouthy,

Mostafa,

Roshdy

et al. 2024

Applied Sciences

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The increasing integration of the Internet of Things (IoT) into daily life has led to significant changes in our social interactions. The advent of innovative IoT solutions, combined with the enhanced capabilities and expanded reach of 5G wireless networks, is altering the way humans interact with machines. Notably, the advancement of edge computing, underpinned by 5G networks within IoT frameworks, has markedly extended human sensory perception and interaction. A key biometric within these IoT applications is electroencephalography (EEG), recognized for its sensitivity, cost-effectiveness, and distinctiveness. Traditionally linked to brain–computer interface (BCI) applications, EEG is now finding applications in a wider array of fields, from neuroscience research to the emerging area of neuromarketing. The primary aim of this article is to offer a comprehensive review of the current challenges and future directions in EEG data acquisition, processing, and classification, with a particular focus on the increasing reliance on data-driven methods in the realm of 5G wireless network-supported EEG-enabled IoT solutions. Additionally, the article presents a case study on EEG-based emotion recognition, exemplifying EEG’s role as a biometric tool in the IoT domain, propelled by 5G technology.

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Section: G Infrastructurementioning

confidence: 99%