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Unobtrusive Refractive Power Monitoring: Using EOG to Detect Blurred Vision.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
The rise in population and aging has led to a significant increase in the number of individuals affected by common causes of vision loss. Early diagnosis and treatment are crucial to avoid the consequences of visual impairment. However, in early stages, many visual problems are making it difficult to detect.
View Article and Find Full Text PDFFacial Motion Capture System Based on Facial Electromyogram and Electrooculogram for Immersive Social Virtual Reality Applications.
Sensors (Basel)
March 2023
Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
With the rapid development of virtual reality (VR) technology and the market growth of social network services (SNS), VR-based SNS have been actively developed, in which 3D avatars interact with each other on behalf of the users. To provide the users with more immersive experiences in a metaverse, facial recognition technologies that can reproduce the user's facial gestures on their personal avatar are required. However, it is generally difficult to employ traditional camera-based facial tracking technology to recognize the facial expressions of VR users because a large portion of the user's face is occluded by a VR head-mounted display (HMD).
View Article and Find Full Text PDFMonopolar and bipolar electrooculography signal characteristics due to target displacements-have we seen the whole picture?
Physiol Meas
March 2023
Department of Systems and Control Engineering, University of Malta, Msida, Malta.
The development of electrooculography (EOG)-based human-computer interface systems is generally based on the processing of the commonly referred to horizontal and vertical bipolar EOG channels, which are computed from a horizontally-aligned and another vertically-aligned pair of electrodes, respectively. Horizontal (vertical) target displacements are assumed to result in changes in the horizontal (vertical) EOG channel only, and any cross-talk between the bipolar channels is often neglected or incorrectly attributed solely to electrode misalignment with respect to the ocular rotation axes..
View Article and Find Full Text PDFUsing electrooculography with visual stimulus tracking test in diagnosing of ADHD: findings from machine learning algorithms.
Turk J Med Sci
October 2022
Department of Child and Adolescent Psychiatry, Erciyes University School of Medicine, Kayseri, Turkey.
Background: Attention deficit hyperactivity disorder (ADHD), one of the most common neurodevelopmental disorders in childhood, is diagnosed clinically by assessing the symptoms of inattention, hyperactivity, and impulsivity. Also, there are limited objective assessment tools to support the diagnosis. Thus, in this study, a new electrooculography (EOG) based on visual stimulus tracking to support the diagnosis of ADHD was proposed.
View Article and Find Full Text PDFA novel approach for detection of dyslexia using convolutional neural network with EOG signals.
Med Biol Eng Comput
November 2022
Department of Child and Adolescent Psychiatry, Erciyes University School of Medicine, Kayseri, Turkey.
Dyslexia is a learning disability in acquiring reading skills, even though the individual has the appropriate learning opportunity, adequate education, and appropriate sociocultural environment. Dyslexia negatively affects children's educational development; hence, early detection is highly important. Electrooculogram (EOG) signals are one of the most frequently used physiological signals in human-computer interfaces applications.
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