Brain–computer interfaces (BCIs) are successfully used for stroke rehabilitation, but the training is repetitive and patients can lose the motivation to train. Moreover, controlling the BCI may be difficult, which causes frustration and leads to even worse control. Patients might not adhere to the regimen due to frustration and lack of motivation/engagement. The aim of this study was to implement three performance accommodation mechanisms (PAMs) in an online motor imagery-based BCI to aid people and evaluate their perceived control and frustration. Nineteen healthy participants controlled a fishing game with a BCI in four conditions: (1) no help, (2) augmented success (augmented successful BCI-attempt), (3) mitigated failure (turn unsuccess...
<div><p>Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for se...
International audienceObjective. Neural self-regulation is necessary for achieving control over brai...
International audienceObjective While promising, ElectroEncephaloGraphy based Brain-Computer Interfa...
Brain–computer interfaces (BCIs) are successfully used for stroke rehabilitation, but the training i...
Brain–Computer Interfaces (BCIs) are become increasingly more available at reduced costs and are bei...
International audienceStroke leaves around 40% of surviving patients dependent in their activities o...
Brain-Computer Interfaces (BCIs) are systems that extract information from the user’s brain activity...
Strokes leave around 40% of survivors dependent in their activities of daily living, notably due to ...
Abstract — Brain-computer interfaces (BCIs) allow human communication without using the brain’s norm...
With the continuous development of artificial intelligence technology, “brain-computer interfaces” a...
Non-invasive Mental Task-based Brain-Computer Interfaces (MT-BCIs) enable their users to interact wi...
Non-invasive Mental Task-based Brain-Computer Interfaces (MT-BCIs) enable their users to interact wi...
OBJECTIVE: Chronic stroke patients with severe hand weakness respond poorly to rehabilitation effort...
In the past few years, the brain computer interface (BCI) systems have gained a lot of attention alt...
Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there ar...
<div><p>Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for se...
International audienceObjective. Neural self-regulation is necessary for achieving control over brai...
International audienceObjective While promising, ElectroEncephaloGraphy based Brain-Computer Interfa...
Brain–computer interfaces (BCIs) are successfully used for stroke rehabilitation, but the training i...
Brain–Computer Interfaces (BCIs) are become increasingly more available at reduced costs and are bei...
International audienceStroke leaves around 40% of surviving patients dependent in their activities o...
Brain-Computer Interfaces (BCIs) are systems that extract information from the user’s brain activity...
Strokes leave around 40% of survivors dependent in their activities of daily living, notably due to ...
Abstract — Brain-computer interfaces (BCIs) allow human communication without using the brain’s norm...
With the continuous development of artificial intelligence technology, “brain-computer interfaces” a...
Non-invasive Mental Task-based Brain-Computer Interfaces (MT-BCIs) enable their users to interact wi...
Non-invasive Mental Task-based Brain-Computer Interfaces (MT-BCIs) enable their users to interact wi...
OBJECTIVE: Chronic stroke patients with severe hand weakness respond poorly to rehabilitation effort...
In the past few years, the brain computer interface (BCI) systems have gained a lot of attention alt...
Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there ar...
<div><p>Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for se...
International audienceObjective. Neural self-regulation is necessary for achieving control over brai...
International audienceObjective While promising, ElectroEncephaloGraphy based Brain-Computer Interfa...