Wearable Head-Mounted, Glass-Style Computing Devices with Eog Acquisition and Analysis for Human-Computer Interfaces
A apparatus for detecting electrooculograph (EOG) signals, comprising: a pair of temple pieces connected to a bridging structure; at least one electrode on each temple piece configured to contact the skin at the temple, and to receive an EOG signal from a proximate orbital socket; a reference electrode displaced from each temple; and a processor configured to process signals from the sensors to detect saccade movements of the eyes. A wavelet-based algorithm permits analysis and coding of the saccade movements.
- 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.
Binghamton University RB439