Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training [PDF]
Frontiers in Computational Neuroscience, 2023 Despite growing interest and research into brain-computer interfaces (BCI), their usage remains limited outside of research laboratories. One reason for this is BCI inefficiency, the phenomenon where a significant number of potential users are unable to ...
Nicolas Ivanov +3 more
doaj +4 more sources
Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training [PDF]
International Journal of Human-Computer Studies, 2021 Context Motor Imagery based Brain-Computer Interfaces (MI-BCIs) enable their users to interact with digital technologies, e.g., neuroprosthesis, by performing motor imagery tasks only, e.g., imagining hand movements, while their brain activity is recorded. To control MI-BCIs, users must train to control their brain activity.
Léa Pillette +3 more
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Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually. [PDF]
PLoS ONE, 2013 This study implemented a systematic user-centered training protocol for a 4-class brain-computer interface (BCI). The goal was to optimize the BCI individually in order to achieve high performance within few sessions for all users.
Elisabeth V C Friedrich +2 more
doaj +3 more sources
Implementation of Internet Training on Posture Reform of Computer Users in Iran [PDF]
Acta Informatica Medica, 2014 Musculoskeletal disorders are of common problems among computer (PC) users. Training of posture reform plays a significant role in the prevention of the emergence, progression and complications of these diseases. The present research was performed to study the effect of the Internet training on the posture reform of the Internet users working in two ...
Zohreh Keykhaie +6 more
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Standardization of Protocol Design for User Training in EEG-based Brain-Computer Interface
Journal of Neural Engineering, 2020 Brain-computer interfaces (BCIs) are systems that enable a person to interact with a machine using only neural activity. Such interaction can be non-intuitive for the user hence user training methods are developed to increase one's understanding, confidence and motivation, which would in parallel increase system performance.
Jelena Mladenović
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Towards Explanatory Feedback for User Training in Brain–Computer Interfaces [PDF]
2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015 Despite their potential for many applications, Brain-Computer Interfaces (BCI) are still rarely used due to their low reliability and long training. These limitations are partly due to inappropriate training protocols, which includes the feedback provided to the user.
Julia Schumacher +2 more
openalex +4 more sources
Computer-based auditory training for adult CI users
Laryngo-Rhino-Otologie, 2022 Christiane Völter +3 more
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Exploring Thermal Feedback in Brain-Computer Interface User Training
Brain-computer interfaces (BCIs) rely on the acquisition of brain activity, often using electroencephalography (EEG), which is then interpreted into a command for a digital device. Motor imagery (MI) is a common task for generating recognizable brain activity for BCIs [1], albeit challenging for novice users.
F. Lejeune +5 more
openalex +3 more sources
ENHANCING NEUROFEEDBACK TRAINING USING P300-BASED BRAIN-COMPUTER INTERFACES: A USER ACCEPTABILITY STUDY [PDF]
IBRO Neuroscience Reports, 2023 Eva Woods +3 more
doaj +2 more sources
Computer-based auditory training (CBAT) for adult cochlear implant users [PDF]
Laryngo-Rhino-Otologie, 2019 Christiane Schirmer +3 more
openalex +2 more sources