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An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user [PDF]
Brain-computer interfaces (BCIs) can serve as muscle independent communication aids. Persons, who are unable to control their eye muscles (e.g., in the completely locked-in state) or have severe visual impairments for other reasons, need BCI systems that
Nadine Simon+5 more
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On-line user-computer interface
In less than two decades the electronic digital computer has evolved from a high-speed replacement for the abacus to a full-fledged partner in dialogue with humans. By its very nature, on-line computing thrusts the user into an entirely different environment than does conventional batch processing.
Harold F. O'Neil, George H. Walther
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Machines and computer systems differ in many characteristics that have important consequences for the user. Machines are special-purpose, have forms suggestive of their functions, are operated with controls in obvious one-to-one correspondence with their actions, and the consequences of the actions on visible objects are immediately and readily ...
John A. Rohrlich, Lloyd H. Nakatani
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Managing the design of user-computer interfaces [PDF]
W. Zimmer+2 more
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A human/computer interface to accommodate user learning stages [PDF]
Howard Mozeico
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Brain–computer interface use is a skill that user and system acquire together
A brain–computer interface (BCI) is a computer-based system that acquires, analyzes, and translates brain signals into output commands in real time. Perdikis and colleagues demonstrate superior performance in a Cybathlon BCI race using a system based on “
D. McFarland, J. Wolpaw
semanticscholar +1 more source
Brain–Computer Interface Spellers: A Review
A Brain–Computer Interface (BCI) provides a novel non-muscular communication method via brain signals. A BCI-speller can be considered as one of the first published BCI applications and has opened the gate for many advances in the field.
Aya Rezeika+5 more
semanticscholar +1 more source
Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface
One of the major limitations of motor imagery (MI)-based brain–computer interface (BCI) is its long calibration time. Due to between sessions/subjects variations in the properties of brain signals, typically, a large amount of training data needs to be ...
Ahmed M. Azab+3 more
semanticscholar +1 more source
EEG datasets for motor imagery brain–computer interface
Background: Most investigators of brain–computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked neuronal activity.
Hohyun Cho+4 more
semanticscholar +1 more source
Brain–computer interfaces (BCIs) have enabled individuals to control devices, such as spellers, robotic arms, drones, and wheelchairs, but often these BCI applications are restricted to research laboratories.
Christopher G. Coogan, B. He
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