Frontiers in Neuroscience, 2022 Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts. One of the most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject.
Marcin Jurczak +2 more
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eyeSay: Brain Visual Dynamics Decoding With Deep Learning & Edge Computing
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Brain visual dynamics encode rich functional and biological patterns of the neural system, and if decoded, are of great promise for many applications such as intention understanding, cognitive load quantization and neural disorder measurement.
Jiadao Zou, Qingxue Zhang
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Non spontaneous saccadic movements identification in clinical electrooculography using machine learning [PDF]
, 2015 In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography tests.
Becerra-García, Roberto Antonio +8 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Over the past decades, brain-computer interfaces (BCIs) have been developed to provide individuals with an alternative communication channel toward external environment.
Seonghun Park +4 more
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Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2 [PDF]
, 2019 IWANN es un congreso internacional que se celebra bienalmente desde 1991. Su campo de estudio se centra en la fundamentación y aplicación de las distintas técnicas de Inteligencia Computacional : Redes Neuronales Artificiales, Algoritmos Genéticos ...
A Esteva +8 more
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Using natural head movements to continually calibrate EOG signals
Journal of Eye Movement Research, 2022 Electrooculography (EOG) is the measurement of eye movements using surface electrodes adhered around the eye. EOG systems can be designed to have an unobtrusive form-factor that is ideal for eye tracking in free-living over long durations, but the ...
Jason Nezvadovitz, Hrishikesh Rao
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A Comparison of a Brain-Computer Interface and an Eye Tracker: Is There a More Appropriate Technology for Controlling a Virtual Keyboard in an ALS Patient? [PDF]
, 2017 The ability of people affected by amyotrophic lateral sclerosis (ALS), muscular dystrophy or spinal cord injuries to physically interact with the environment, is usually reduced.
DJ Krusienski +8 more
core +1 more source
Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces
Sensors, 2021 Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user’s intentions. In this work,
Francisco Laport +4 more
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Frontiers in Neuroscience, 2021 In recent years, automatic sleep staging methods have achieved competitive performance using electroencephalography (EEG) signals. However, the acquisition of EEG signals is cumbersome and inconvenient.
Jiahao Fan +6 more
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Navigation and interaction in a real-scale digital mock-up using natural language and user gesture [PDF]
, 2014 This paper tries to demonstrate a very new real-scale 3D system and sum up some firsthand and cutting edge results concerning multi-modal navigation and interaction interfaces. This work is part of the CALLISTO-SARI collaborative project.
Carmein David EE +4 more
core +4 more sources