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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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
core +1 more source
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
doaj +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
doaj +1 more source
Comparison of head gaze and head and eye gaze within an immersive environment [PDF]
, 2006 For efficient collaboration between participants, eye gaze is seen as being critical for interaction. Teleconferencing systems such as the AcessGrid allow users to meet across geographically disparate rooms but as of now there seems no substitute for ...
Murray, NS, Roberts, DJ
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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
Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2021 Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease.
Kemahyanto Exaudi +2 more
doaj +1 more source
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
doaj +1 more source
Efficient Implementation and Design of A New Single-Channel Electrooculography-based Human-Machine Interface System [PDF]
, 2015 published_or_final_versio
ANG, MS +8 more
core +1 more source
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms [PDF]
, 2018 We have developed an automatic sleep stage classification algorithm based on deep residual neural networks and raw polysomnogram signals. Briefly, the raw data is passed through 50 convolutional layers before subsequent classification into one of five ...
Jennum, Poul +4 more
core +2 more sources