Incorporation of a language model into a Brain Computer Interface based speller through HMMs [PDF]
, 2012 Brain computer interface (BCI) research deals with the problem of establishing direct communication pathways between the brain and external devices. The primary motivation is to enable patients with limited or no muscular control to use external devices ...
Çetin, Müjdat, Ulaş, Çağdaş
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Towards hippocampal navigation for brain–computer interfaces
Scientific Reports, 2023 Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair movements ...
Jeremy Saal +7 more
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Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
Frontiers in Human Neuroscience, 2019 Recent advances in neuroscience have paved the way to innovative applications that cognitively augment and enhance humans in a variety of contexts. This paper aims at providing a snapshot of the current state of the art and a motivated forecast of the ...
Caterina Cinel +3 more
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Neural–Computer Interfaces: Theory, Practice, Perspectives
Applied SciencesThis review outlines the technological principles of neural–computer interface (NCI) construction, classifying them according to: (1) the degree of intervention (invasive, semi-invasive, and non-invasive); (2) the direction of signal communication ...
Ignat Dubynin +5 more
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Brain–Computer Interfaces for Human Augmentation
Brain Sciences, 2019 The field of brain⁻computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for ...
Davide Valeriani +2 more
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Multi-Armed Bandits in Brain-Computer Interfaces
Frontiers in Human Neuroscience, 2022 The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward.
Frida Heskebeck +2 more
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Brain computer interface based robotic rehabilitation with online modification of task speed [PDF]
, 2013 We present a systematic approach that enables online modification/adaptation of robot assisted rehabilitation exercises by continuously monitoring intention levels of patients utilizing an electroencephalogram (EEG) based Brain-Computer Interface (BCI ...
Saraç, Mine +9 more
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Adaptive personalisation for researcher-independent brain body interface usage [PDF]
, 2009 In this case study, we report what we believe to be the first prolonged in-situ use of a brain-body interface for rehabilitation of individuals with severe neurological impairment due to traumatic brain injury with no development researchers present.
Gnanayutham, Paul +4 more
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Detecting mental states by machine learning techniques: The Berlin Brain-computer interface
, 2022 S.113-135The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract user-specific patterns from high-dimensional EEG-features optimized for revealing the user's mental state. Classical BCI applications are brain actuated tools
Blankertz, B. +9 more
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A Wireless Future: performance art, interaction and the brain-computer interfaces [PDF]
, 2014 Although the use of Brain-Computer Interfaces (BCIs) in the arts originates in the 1960s, there is a limited number of known applications in the context of real-time audio-visual and mixed-media performances and accordingly the knowledge base of this ...
Pollick, Frank +3 more
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