Sensory System for Implementing a Human—Computer Interface Based on Electrooculography
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Summary
An acquisition system captures electrooculograms and transmits them via the ZigBee protocol and the graphical interface is projected onto special eyewear, which is also used to position the signal-capturing electrodes.
- Type
- article
- Published
- 2010-12-29
- Cited by
- 75
- References
- 46
- Access
- Open access
- OpenAlex
- https://openalex.org/W1967431294
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17635458
Keywords
Electrooculography, Interface (matter), Computer science, Microcontroller, Embedded system
References
- E.O.G. guidance of a weelchair using spiking neural networks
- Using EagleEyes—an electrodes based device for controlling the computer with your eyes—to help people with special needs
- DRIVER PERFORMANCE USING SINGLE SWITCH SCANNING WITH A POWERED WHEELCHAIR: ROBOTIC ASSISTED CONTROL VERSUS TRADITIONAL CONTROL
- Electrooculogram based system for computer control using a multiple feature classification model
- Saccadic eye-movement system modelling using recurrent neural network
- Tapping the Mind
- Quantitative analysis on electrooculography (EOG) for neurodegenerative disease
- EOG-based Human-Computer Interface system development
- Towards an EOG-based eye tracker for computer control
- Driven-right-leg circuit design
- System for assisted mobility using eye movements based on electrooculography
- On the Use of Electrooculogram for Efficient Human Computer Interfaces
- Development of communication supporting device controlled by eye movements and voluntary eye blink
- Full-time wearable headphone-type gaze detector
- Eye Movement Analysis for Activity Recognition Using Electrooculography
- Aiming Accuracy of the Line of Gaze and Redesign of the Gaze-Pointing System
- A new method for calculating eye movement displacement from AC coupled electro-oculographic signals in head mounted eye-gaze input interfaces
- A novel eye movement detection algorithm for EOG driven human computer interface
- Robust Discrimination Method of the Electrooculogram Signals for Human-Computer Interaction Controlling Mobile Robot
- Wearable EOG goggles: eye-based interaction in everyday environments
Cited by
- Classifying Electrooculogram to Detect Directional Eye Movements
- Human-robot shared control of articulated manipulator
- Extreme learning machines: a survey
- Obstacle avoidance embedded system for a smart wheelchair with a multimodal navigation interface
- Assistive communication system for speech disabled patients based on electro-oculogram character recognition
- Development of a Dual Control System Applied to a Smart Wheelchair, using Magnetic and Speech Control☆
- A wireless Electrooculography-based human-computer interface for baseball game
- Detection of eye movements for controlling a television
- Controlling a Human–Computer Interface System With a Novel Classification Method that Uses Electrooculography Signals
- A quantitative comparison of the most sophisticated EOG-based eye movement recognition techniques
- Biomechanical Signals Human-Computer Interface for Severe Motor Disabilities
- Development of a magnetic control system for an electric wheelchair using the tongue
- Facial Expression Recognition based on EOG toward Emotion Detection for Human-Robot Interaction
- A novel embedded approach for the development of wireless electro-oculogram based human-computer interface
- Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition
- Empirical models for horizontal saccadic eye movements
- A home mobile healthcare system for wheelchair users
- Wheelchair Motion Control Guide Using Eye Movement Based on EEG Signals
- Computer Human Interface Control by Electro-Oculography (EOG) Signal
- Application of Photoplethysmography for Man- Machine Interface: A Pilot Study
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