Our experience in the field comes from previous research
Our applications have been developed after having conducted many experiments. Scientific articles related to such applications have been published on the most respected international scientific journals.
1Borghini G, Aricò P, Di Flumeri G, Sciaraffa N and Babiloni F (2019). Correlation and similarity between cerebral and non-cerebral electrical activity for user’s states assessment.
2Di Flumeri G, Borghini G, Aricò P, Sciaraffa N, Di Florio A and Babiloni F (2019). The dry revolution: evaluation of three different EEG dry electrode types in terms of signal spectral features, mental states classification and usability.
3Di Flumeri G, Borghini G, Aricò P, Sciaraffa N, Lanzi P, Pozzi S, Vignali V, Lantieri C, Bichicchi A, Simone A and Babiloni F (2018). EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings. Front. Hum. Neurosci. 12:509. doi: 10.3389/fnhum.2018.00509
4Borghini G, Aricò P, Di Flumeri G, Sciaraffa N, Colosimo A, Herrero MT,Bezerianos A, Thakor NV, Babiloni F. A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation. Front Neurosci. 2017 Jun 13;11:325. doi: 10.3389/fnins.2017.00325. eCollection 2017. PubMed PMID: 28659751; PubMed Central PMCID: PMC5468410.
5Arico P, Borghini G, Di Flumeri G, Sciaraffa N, Colosimo A, Babiloni F. Passive BCI in Operational Environments: Insights, Recent Advances, and Future Trends. IEEE Trans Biomed Eng. 2017 Jul;64(7):1431-1436. doi:10.1109/TBME.2017.2694856. Epub 2017 Apr 17. PubMed PMID: 28436837
6 Borghini G, Aricò P, Di Flumeri G, Cartocci G, Colosimo A, Bonelli S, Golfetti A, Imbert JP, Granger G, Benhacene R, Pozzi S, Babiloni F. EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers. Sci Rep. 2017 Apr 3;7(1):547. doi: 10.1038/s41598-017-00633-7. PubMed PMID: 28373684; PubMed Central PMCID: PMC5428823.
7Aricò P, Borghini G, Di Flumeri G, Colosimo A, Bonelli S, Golfetti A, Pozzi S, Imbert JP, Granger G, Benhacene R, Babiloni F. Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment. Front Hum Neurosci. 2016 Oct 26;10:539. eCollection 2016. PubMed PMID: 27833542; PubMed Central PMCID: PMC5080530.
8 Classification of Physiological Signals for Wheel Loader Operators Using Multi-Scale Entropy Analysis and Case-Based Reasoning (Jul 2013), Shahina Begum, Shaibal Barua, Reno Filla, Mobyen Uddin Ahmed, Expert Systems with Applications
