Electrooculography

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Electrooculography (EOG/E.O.G. (Wikipedia.org)






Conferences related to Electrooculography

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering

  • 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2019 IEEE SENSORS

The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state-of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.

  • 2018 IEEE SENSORS

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state -of-the art information including the latest research and development in sensors and their relatedfields. It brings together researchers, developers, and practitioners from diverse fields includinginternational scientists and engineers from academia, research institutes, and companies topresent and discuss the latest results in the general field of sensors.

  • 2017 IEEE SENSORS

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state -of-the art information including the latest research and development in sensors and their relatedfields. It brings together researchers, developers, and practitioners from diverse fields includinginternational scientists and engineers from academia, research institutes, and companies topresent and discuss the latest results in the general field of sensors.

  • 2016 IEEE Sensors

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state -of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.

  • 2015 IEEE Sensors

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state -of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fieldsincluding international scientists and engineers from academia, research institutes, and companies topresent and discuss the latest results in the general field of sensors.

  • 2014 IEEE Sensors

    The IEEE Sensors Conference is a forum for presentation, discussion, andexchange of state -of-the art information including the latest research and development in sensors andtheir related fields. It brings together researchers, developers, and practitioners from diverse fieldsincluding international scientists and engineers from academia, research institutes, and companies topresent and discuss the latest results in the general field of sensors.

  • 2013 IEEE Sensors

    The IEEE SENSORS Conference is a forum for presentation, discussion, and exchange of state -of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.

  • 2012 IEEE Sensors

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state-of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.

  • 2011 IEEE Sensors

    The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state-of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors. IEEE SENSORS 2011 will include keynote addresses by eminen

  • 2010 IEEE Sensors

    The IEEE SENSORS 2010 Conference is a forum for state-of-the-art presentations on sensors and related topics covering from theory to application, device to system, modeling to implementation and from macro/nano to scale.

  • 2009 IEEE Sensors

    IEEE Sensors Conference 2009 is intended to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in the area of sensors and sensing technology. IEEE Sensors Conference 2009 will include keynote addresses by eminent scientists as well as special, regular and poster sessions.

  • 2008 IEEE Sensors

    IEEE SENSORS 2008 solicits original and state-of-the-art contributions to sensors and related topics, covering from theory to application, from device to system, from modeling to implementation, and from macro to micro/nano in scale. Topics of interest include,but are not limitid to: Phenomena, Modeling, and Evaluation (Novel Sensing Principles, Theory and Modeling, Sensors Characterization, Evaluation and Testing, Data Handling and Mining) Chemical and Gas Sensors (Materials, Devices, Electronics N

  • 2007 IEEE Sensors

    IEEE SENSORS 2007 solicits original and state-of-the-art contributions to sensors and related topics, covering from theory to application, from device to system, from modeling to implementation, and from macro to micro/nano in scale.

  • 2006 IEEE Sensors

  • 2005 IEEE Sensors

  • 2004 IEEE Sensors

  • 2003 IEEE Sensors

  • 2002 IEEE Sensors


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Periodicals related to Electrooculography

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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Most published Xplore authors for Electrooculography

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Xplore Articles related to Electrooculography

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18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications

2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers, 2015

Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (Ul) and user experience (UX). Since HMD systems have a small compact wearable platform, their Ul requires new modalities, rather than a computer mouse or a 2D ...


Multiple Channel Electrooculogram Classification using Automata

2007 IEEE International Workshop on Medical Measurement and Applications, 2007

In this paper, we present a simple and novel technique for classification of multiple channel electrooculogram signals (EOG). In particular, a viable real- time EOG signal classifier is proposed. The classifier is based on deterministic finite automata (DFA). The system is capable of classifying sixteen different EOG signals and can be used universally for development of hardwired (using VHDL, FPGA ...


Gaming controlling via brain-computer interface using multiple physiological signals

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014

Using physiological signals to control brain-computer interface (BCI) becomes more popular. Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control BCI systems based on eye movement detection and signal processing methods. Also, the use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability ...


Computer-Based design with dual channel device electrooculography and eye movement tracking

2015 Medical Technologies National Conference (TIPTEKNO), 2015

Electrooculography are used in various field of analyzing the movements of the eyeball. EOG signals provide information about the movements of the eye through the electrical potential in the eyeball. The detection of eye movements can provide convenience to a lot of studies using today's technology. In this study, two-channel EOG Computer-Based Measurement System Design was performed. Also, various functional ...


Activity-based sleep-wake identification in infants

Computers in Cardiology, 2002

Actigraphy offers one of the best known alternatives to polysomnography for wake-sleep identification. The advantages of actigraphy include high accuracy, simplicity of use and low intrusiveness. These features allow of use actigraphy for determining wake-sleep states in highly sensitive groups such as infants. Both logistic regression and neural networks were tested as predictors. The accuracy of predicted wake-sleep states were ...


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Educational Resources on Electrooculography

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Electrooculography"

IEEE-USA E-Books

  • 18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications

    Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (Ul) and user experience (UX). Since HMD systems have a small compact wearable platform, their Ul requires new modalities, rather than a computer mouse or a 2D touch panel. Recent speech-recognition-based Uls require voice input to reveal the user's intention to not only HMD users but also others, which raises privacy concerns in a public space. In addition, prior works [2-3] attempted to support object recognition (OR) or augmented reality (AR) in smart eyeglasses, but consumed considerable power, >381mW, resulting in <;6 hours operation time with a 2100mWh battery.

  • Multiple Channel Electrooculogram Classification using Automata

    In this paper, we present a simple and novel technique for classification of multiple channel electrooculogram signals (EOG). In particular, a viable real- time EOG signal classifier is proposed. The classifier is based on deterministic finite automata (DFA). The system is capable of classifying sixteen different EOG signals and can be used universally for development of hardwired (using VHDL, FPGA etc.), or embedded (using microcontroller etc.) devices requiring EOG as a primary source of input. The viability of the system was tested by performing online experiments with able bodied subjects.

  • Gaming controlling via brain-computer interface using multiple physiological signals

    Using physiological signals to control brain-computer interface (BCI) becomes more popular. Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control BCI systems based on eye movement detection and signal processing methods. Also, the use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability and strong reliability. In this paper, we described a signal processing method, which uses a wireless EEG-based BCI system designed to be worn near forehead that can detect both EEG and EOG signals, for detecting eye movements to have 9 direction controls (via EOG) and one action of execution (via EEG). This system included a wireless EEG signal acquisition device, a mechanism that can be worn stably, and an application program (APP) with signal processing algorithms. This algorithm and its classification procedure provided an effective method for identifying eye movements and attention. Finally, we designed a baseball game to test the BCI system. The results demonstrated that player can control the game well with high accuracy.

  • Computer-Based design with dual channel device electrooculography and eye movement tracking

    Electrooculography are used in various field of analyzing the movements of the eyeball. EOG signals provide information about the movements of the eye through the electrical potential in the eyeball. The detection of eye movements can provide convenience to a lot of studies using today's technology. In this study, two-channel EOG Computer-Based Measurement System Design was performed. Also, various functional movements of the eye through test software is recorded to be evaluated by proposed device.

  • Activity-based sleep-wake identification in infants

    Actigraphy offers one of the best known alternatives to polysomnography for wake-sleep identification. The advantages of actigraphy include high accuracy, simplicity of use and low intrusiveness. These features allow of use actigraphy for determining wake-sleep states in highly sensitive groups such as infants. Both logistic regression and neural networks were tested as predictors. The accuracy of predicted wake-sleep states were established in comparison to the sleep/wake states recorded by technicians in a polysomnograph study. Both prediction methods provided good accuracy of prediction and agreement in results with other studies, thus validating the suggested methodology.

  • Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements

    The power change of electroencephalographs (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task- related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.

  • Adaptive technique for the minimization of EOG artefacts from EEG signals using TDL structure and nonlinear, estimation model

    BEG records are often contaminated with extracerebral signals called artefacts and one of the main disturbances is due to eye movements which generate an electrical activity called EOG. In this paper, we use an adaptive noise cancellation scheme in a novel way for the minimization of the EOG artefacts from corrupted EEG signals. This method is based on the fact that the transfer function of the biological neuron can be modelled as a sigmoidal nonlinearity. Comparison of the time plots as also the smoothed linear prediction spectra show that the proposed method effectively minimizes the EOG artefacts from corrupted EEG signals.

  • Oral motion controlled intelligent wheelchair

    This paper describes the novel interface equipped intelligent wheelchair. The proposed interface is using visual oral motion. In our system, the user moves his mouth open and close to run the wheelchair. To achieve detection of mouth region and analysis mouth motion in real-time, we proposed mouth cavity region detection method. We carried out the operational experiment and the running experiment with five persons, and obtained proposed system brings the user toward destination operated with oral motion.

  • Sensing and control of a robotic prosthetic eye for ocular implant

    Describes two robotic prosthetic eye prototype models. The first model uses an external infrared sensor array mounted on a frame of a pair of eyeglasses to detect natural eye movement and to feed the control system to drive the artificial eye to move with the natural eye. The second model uses human brain EOG (electrooculography) signals picked up by electrodes placed on both sides of a person's head to carry out the same eye movement detection and control tasks as mentioned above. Theoretical issues on sensor failure detection and recovery, and signal processing techniques used in sensor data fusion are studied using statistical methods and artificial neural network based techniques. In addition, practical control system design and implementation using micro controllers are studied and implemented to carry out the natural eye movement detection and artificial robotic eye control tasks.

  • Operation systems for a mobile robot using EOG and EMG

    In this research, systems to operate a mobile robot by using electrooculographic (EOG) and electromyographic (EMG) signals are developed. Suitable control command signals for the mobile robot are generated by processing EOG and EMG signals appropriately. By reducing the number of electrodes, a simplified operation system for mobile robot is also constructed. The effectiveness of the proposed operation systems is verified by experiment.



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