IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Gaze Gesture Recognition using Optimized OHTM


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International Journal for Innovative Research in Science & Technology
Volume 4 Issue - 3
Year of Publication : 2017
Authors : S. Angel Leola Sruthi ; A. Angayarkanni; K. Priyanga

BibTeX:

@article{IJIRSTV4I3011,
     title={Gaze Gesture Recognition using Optimized OHTM},
     author={S. Angel Leola Sruthi, A. Angayarkanni and K. Priyanga},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={3},
     pages={57--62},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I3011.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

This paper presents the gaze gesture recognition using webcam. This paper comes under the domain Human Computer Interaction (HCI). In today’s world Human Computer Interaction plays a vital role in various fields. In this work, an Algorithm called Optimized Hierarchical Temporal Memory (OHTM) is used in order to overcome the various drawbacks of the previous algorithms such as traditional Hierarchical Temporal Memory (HTM). A new HCI paradigm for the fields of accessibility and interaction with Smartphone, tablets, projected displays and traditional desktop computers.


Keywords:

Human Computer Interaction, Optimized Hierarchical Temporal Memory, Hierarchical Temporal Memory


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