21 papers · ranked by Valyu relevance
Won-Du Chang, Ho-Seung Cha, Chang-Hwan Im, Daniel Teichmann + 1 more
'Steffen Leonhardt'] This paper introduces a method to remove the unwanted interdependency between vertical and horizontal eye-movement components in electrooculograms (EOGs). EOGs have been widely used to estimate eye movements without a camera in a variety of human-computer interaction (HCI) applications using pairs…
Seunghyeb Ban, Yoon Jae Lee, Ka Ram Kim, Jong-Hoon Kim + 1 more
'Woon-Hong Yeo'] Eye movements show primary responses that reflect humans’ voluntary intention and conscious selection. Because visual perception is one of the fundamental sensory interactions in the brain, eye movements contain critical information regarding physical/psychological health, perception, intention, and…
C. O’Reilly, S. Huberty
The electroencephalogram (EEG) directly measures the electrical activity generated by the brain. Unfortunately, it is often contaminated by various artifacts, notably those caused by eye movements and blinks (EOG artifacts). Such artifacts are usually removed using an independent component analysis (ICA) or other blind…
Roberto A. Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya, Francesco Carlo Morabito
'Francesco Carlo Morabito'] Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as Spinocerebellar Ataxia type 2 (SCA2). For…
Dimitri M. Abramov, Carlos Alberto Mourão, Paulo Ricardo Galhanone, Vladimir V. Lazarev
Eye movement during blinking can be a significant artifact in ERP analysis (mainly if ERP is blink-locked). Blinks produce a large positive potential in the vertical electrooculogram (VEOG), spreading towards posterior direction. Two methods are the most frequently used to suppress VEOGs: linear regression to subtract…
Dimitri Marques Abramov, Paulo Ricardo Galhanone, Vladimir V. Lazarev, Antonio Mauricio Ferreira Leite Miranda de Sá + 1 more
'Antonio Mauricio Ferreira Leite Miranda de Sá' 'Hadeel K. Aljobouri'] Eye movement during blinking can be a significant artifact in Event-Related Potentials (ERP) analysis. Blinks produce a positive potential in the vertical electrooculogram (VEOG), spreading towards the posterior direction. Two methods are frequently…
Keiko Sakurai, Mingmin Yan, Koichi Tanno, Hiroki Tamura
A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to…
Tobias King, Michael Thomas Knierim, Philipp Lepold, Christopher Clarke + 3 more
Eye tracking technology is frequently utilized to diagnose eye and neurological disorders, assess sleep and fatigue, study human visual perception, and enable novel gaze-based interaction methods. However, traditional eye tracking methodologies are constrained by bespoke hardware that is often cumbersome to wear…
Behrad TaghiBeyglou, Fatemeh Bagheri
Introduction: Electroencephalogram (EEG) signals have gained significant popularity in various applications due to their rich information content. However, these signals are prone to contamination from various sources of artifacts, notably the electrooculogram (EOG) artifacts caused by eye movements. The most effective…
Çağatay Demirel, Livia Reguş, Hatice Köse
There have been many studies on intelligent robotic systems for patients with motor impairments, where different sensor types and different human-machine interface (HMI) methods have been developed. However, these studies fail to achieve complex activity detection at the minimum sensing level. In this paper…
Chao-Lin Teng, Yi-Yang Zhang, Wei Wang, Yuan-Yuan Luo + 2 more
'Jin Xu'] Electrooculogram (EOG) is one of common artifacts in recorded electroencephalogram (EEG) signals. Many existing methods including independent component analysis (ICA) and wavelet transform were applied to eliminate EOG artifacts but ignored the possible impact of the nature of EEG signal. Therefore, the…
Mohammad Ridwan Kabir, Mohammad Ishrak Abedin, Rizvi Ahmed, Saad Bin Ashraf + 2 more
EMG signals are susceptible to external noises and are highly dependent on the exact and accurate placement of electrodes for accurate gesture recognition. One of the inherent problems of EMG technology is that the retrieved signals are typically weaker and varies from person-to-person , thereby, requiring a…
E. Guttmann-Flury, Xinjun Sheng, D. Zhang, Xiaoying Zhu
UUUUU Abstract— This paper presents a new preprocessing method to correct blinking artifacts in Electroencephalography (EEG) based Brain-Computer Interfaces (BCIs). This Algorithm for Blink Correction (ABC) directly corrects the signal in the time domain without the need for additional Electrooculogram (EOG)…
Venkatakrishnan Sutharsan, Alagappan Swaminathan, Saisrinivasan Ramachandran, M. K. Lakshmanan + 1 more
'Saisrinivasan Ramachandran' 'M. K. Lakshmanan' 'M. Balaji'] Abstract. Electroencephalogram (EEG) is the recording which is the result due to the activity of bio-electrical signals that is acquired from electrodes placed on the scalp. In Electroencephalogram signal(EEG) recordings, the signals obtained are contaminated…
Abdullah Zafar, Claudia Martin Calderon, Anne Marie Yeboah, Kristine Dalton + 3 more
Technological advances in eye-tracking have resulted in lightweight, portable solutions that are capable of capturing eye movements beyond laboratory settings. Eye-tracking devices have typically relied on heavier, video-based systems to detect pupil and corneal reflections. Advances in mobile eye-tracking technology…
Guanghui Zhang, David R. Garrett, Aaron M. Simmons, John E. Kiat + 1 more
Eyeblinks and other large artifacts can create two major problems in event-related potential (ERP) research, namely confounds and increased noise. Here, we developed a method for assessing the effectiveness of artifact correction and rejection methods at minimizing these two problems. We then used this method to assess…
Ruth Hamilton
Visual electrophysiology is a powerful, non-invasive tool in ophthalmology and neurology. It is of paramount importance in the diagnosis of diseases affecting the visual pathway because it objectively and specifically assesses function, localising dysfunction to the retinal pigment epithelium, retina, macula, optic…
Olaf Dimigen, Humboldt-Universität zu Berlin
Combining EEG with eye-tracking is a promising approach to study neural correlates of natural vision, but the resulting recordings are also heavily contaminated by activity of the eye balls, eye lids, and extraocular muscles. While Independent Component Analysis (ICA) is commonly used to suppress these ocular…
Roman S. Kovtun, S. P. Radchenko, A. V. Netreba, Oleksandr Sudakov + 4 more
'R. Natarov' 'Zoya Dyka' 'Ievgen Kabin' 'Peter Langendörfer'] Abstract—Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental system…
Neil W Bailey, Aron T Hill, Kate Godfrey, M. Prabhavi N. Perera + 3 more
Electroencephalography (EEG) is a useful tool to measure neural activity. However, EEG data are usually contaminated with non-neural artifacts, including voltage shifts generated by eye movements and muscle activity, and other artifacts that are less easily characterizable. The confounding influence of artifacts is…
Rui Sun, Cynthia Chan, Janet Hsiao, Akaysha C. Tang
Ocular artifact in EEG has long been viewed as a problem for interpreting EEG data in basic and applied research. The removal of such artifacts has been an on-going effort over many decades. We have recently introduced a hybrid method combining second-order blind identification (SOBI) with DANS, a novel automatic…