research-article

Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report

Authors:

Leopoldo Angrisani,

Pasquale Arpaia,

Egidio De Benedetto,

Antonio Esposito,

Nicola Moccaldi,

Marco ParvisAuthors Info & Claims

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

Pages 1 - 6

https://doi.org/10.1109/I2MTC50364.2021.9459844

Published: 17 May 2021 Publication History

Abstract

This work reports the research on brain-computer interfaces (BCI) carried out in the last five years at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab), at the University of Naples Federico II (Italy). In the research, particular attention has been dedicated to wearability, portability, and other key features for obtaining user-friendly BCI systems. Indeed, the interest in the adoption of BCI systems is becoming particularly relevant for cyber-physical human systems (CPHSs), where possible applications relate to industry, healthcare, and daily-life activities in general. In such a context, materials and explored methods are reviewed, and results are presented with reference to reactive, active, and passive paradigms.

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Cited By

Apicella AArpaia PCataldo ADe Benedetto EDonato NDuraccio LGiugliano SPrevete R(2022)Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)10.1109/MeMeA54994.2022.9856441(1-5)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1109/MeMeA54994.2022.9856441

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Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report

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2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

May 2021

1725 pages

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Published: 17 May 2021

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Apicella AArpaia PCataldo ADe Benedetto EDonato NDuraccio LGiugliano SPrevete R(2022)Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)10.1109/MeMeA54994.2022.9856441(1-5)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1109/MeMeA54994.2022.9856441

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