Zobrazeno 1 - 10
of 151
pro vyhledávání: '"passive brain-computer interface"'
Autor:
Daniele Germano, Nicolina Sciaraffa, Vincenzo Ronca, Andrea Giorgi, Giacomo Trulli, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Aricò
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12800 (2023)
In the field of passive Brain–computer Interfaces (BCI), the need to develop systems that require rapid setup, suitable for use outside of laboratories is a fundamental challenge, especially now, that the market is flooded with novel EEG headsets w
Externí odkaz:
https://doaj.org/article/12ad13d86c694851963164adf4f0b7d2
A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees
Autor:
Gianluca Di Flumeri, Andrea Giorgi, Daniele Germano, Vincenzo Ronca, Alessia Vozzi, Gianluca Borghini, Luca Tamborra, Ilaria Simonetti, Rossella Capotorto, Silvia Ferrara, Nicolina Sciaraffa, Fabio Babiloni, Pietro Aricò
Publikováno v:
Sensors, Vol 23, Iss 20, p 8389 (2023)
When assessing trainees’ progresses during a driving training program, instructors can only rely on the evaluation of a trainee’s explicit behavior and their performance, without having any insight about the training effects at a cognitive level.
Externí odkaz:
https://doaj.org/article/eed3dca2fc4342c1a8d3374ed52c7680
Autor:
Jacob White, Sarah D. Power
Publikováno v:
Sensors, Vol 23, Iss 13, p 6077 (2023)
In passive BCI studies, a common approach is to collect data from mental states of interest during relatively long trials and divide these trials into shorter “epochs” to serve as individual samples in classification. While it is known that using
Externí odkaz:
https://doaj.org/article/e4ce422e7a764bdf81e8dfe5550a2cdc
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6230 (2023)
Eye-fixation-related potential (EFRP)—an event-related potential that is time-locked to the saccade offset (SO)—can be measured without synchronizing with time when external stimuli occur. Such an advantage in measurement enables the mean amplitu
Externí odkaz:
https://doaj.org/article/acedde5365684a62a91b17ad8845422c
Publikováno v:
Frontiers in Neuroergonomics, Vol 2 (2022)
An automated recognition of faces enables machines to visually identify a person and to gain access to non-verbal communication, including mimicry. Different approaches in lab settings or controlled realistic environments provided evidence that autom
Externí odkaz:
https://doaj.org/article/22af61d5199e44a685ca2b1ba952b2c8
Autor:
Raphaëlle N. Roy, Marcel F. Hinss, Ludovic Darmet, Simon Ladouce, Emilie S. Jahanpour, Bertille Somon, Xiaoqi Xu, Nicolas Drougard, Frédéric Dehais, Fabien Lotte
Publikováno v:
Frontiers in Neuroergonomics, Vol 3 (2022)
As is the case in several research domains, data sharing is still scarce in the field of Brain-Computer Interfaces (BCI), and particularly in that of passive BCIs—i.e., systems that enable implicit interaction or task adaptation based on a user's m
Externí odkaz:
https://doaj.org/article/57b9b64b92d84a58b336639e8c981995
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
Neurocinematics is an emerging discipline in neuroscience, which aims to provide new filmmaking techniques by analyzing the brain activities of a group of audiences. Several neurocinematics studies attempted to track temporal changes in mental states
Externí odkaz:
https://doaj.org/article/c5beb5e871434bf4b353c3c876bdd6a4
Akademický článek
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Autor:
Mahsa Bagheri, Sarah D. Power
Publikováno v:
Sensors, Vol 22, Iss 2, p 535 (2022)
Research studies on EEG-based mental workload detection for a passive BCI generally focus on classifying cognitive states associated with the performance of tasks at different levels of difficulty, with no other aspects of the user’s mental state c
Externí odkaz:
https://doaj.org/article/8e902e87db254d9ca6fdd41070c009b3
Autor:
Power, Jacob White, Sarah D.
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 6077
In passive BCI studies, a common approach is to collect data from mental states of interest during relatively long trials and divide these trials into shorter “epochs” to serve as individual samples in classification. While it is known that using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::a136b5c5c64ef734220e993b49d0ba63