CHI '09 Extended Abstracts on Human Factors in Computing Systems
Evaluation of a low-cost open-source gaze tracker
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Interacting with the computer using gaze gestures
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Optimizing hierarchical temporal memory for multivariable time series
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Gliding and saccadic gaze gesture recognition in real time
ACM Transactions on Interactive Intelligent Systems (TiiS)
Low cost remote gaze gesture recognition in real time
Applied Soft Computing
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Eye movements can be consciously controlled by humans to the extent of performing sequences of predefined movement patterns, or 'gaze gestures'. Gaze gestures can be tracked non-invasively employing a video-based eye tracking system. Gaze gestures hold great potential in the context of Human Computer Interaction as low-cost gaze trackers become more ubiquitous. In this work, we build an original set of 50 gaze gestures and evaluate the recognition performance of a Bayesian inference algorithm known as Hierarchical Temporal Memory, HTM. HTM uses a neocortically inspired hierarchical architecture and spatio-temporal coding to perform inference on multi-dimensional time series. Here, we show how an appropiate temporal codification is critical for good inference results. Our results highlight the potential of gaze gestures for the fields of accessibility and interaction with smartphones, projected displays and desktop computers.