A wavelet-based algorithm permits analysis and coding of the saccade movements.
About
A apparatus for detecting electrooculograph (EOG) signals, comprising of a pair of temple pieces connected to a bridging structure with at least one electrode on each temple piece configured to contact the skin at the temple, in order to receive an EOG signal from a proximate orbital socket, as well as, a reference electrode displaced from each temple. It includes a processor configured to process signals from the sensors to detect saccade movements of the eyes.
Key Benefits
• Removal and compensation of the artifacts and noise in EOG signals. • Detection of intentional eye-movement events. • Recognition and encoding of more complex eye gestures consisting of a series of distinct eye movements. • Provides an effective and user-friendly means for people with disabilities or special needs to achieve true “hands-free” control interfaces.