Gaze interface: Utilizing human predictive gaze movements for controlling a HBS
We explore how gaze can be proactively used as part of the control interface for a hybrid bionic system (HBS) in goal directed tasks. Since human gaze behavior has been shown to support hand movement planning, tracking gaze fixation while doing simple, well-learned, object manipulation tasks provide...
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oai:animorepository.dlsu.edu.ph:faculty_research-147122024-07-29T02:37:27Z Gaze interface: Utilizing human predictive gaze movements for controlling a HBS Pinpin, Lord Kenneth M. Johansson, Roland S. Laschi, Cecilia Dario, Paolo We explore how gaze can be proactively used as part of the control interface for a hybrid bionic system (HBS) in goal directed tasks. Since human gaze behavior has been shown to support hand movement planning, tracking gaze fixation while doing simple, well-learned, object manipulation tasks provides a natural way for inferring the subject's motion intent. We devise a simple algorithm based on the gaze fixation area and gaze velocity for sending commands to a robot simulating a HBS. This gaze interface is shown to provide early specification of sequential movement goals according to the subject's action plan (intention) and early triggering of appropriate movement commands. 2008-10-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/12782 Faculty Research Work Animo Repository Bionics Gaze Robots—Control systems Artificial Intelligence and Robotics |
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Bionics Gaze Robots—Control systems Artificial Intelligence and Robotics |
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Bionics Gaze Robots—Control systems Artificial Intelligence and Robotics Pinpin, Lord Kenneth M. Johansson, Roland S. Laschi, Cecilia Dario, Paolo Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
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We explore how gaze can be proactively used as part of the control interface for a hybrid bionic system (HBS) in goal directed tasks. Since human gaze behavior has been shown to support hand movement planning, tracking gaze fixation while doing simple, well-learned, object manipulation tasks provides a natural way for inferring the subject's motion intent. We devise a simple algorithm based on the gaze fixation area and gaze velocity for sending commands to a robot simulating a HBS. This gaze interface is shown to provide early specification of sequential movement goals according to the subject's action plan (intention) and early triggering of appropriate movement commands. |
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text |
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Pinpin, Lord Kenneth M. Johansson, Roland S. Laschi, Cecilia Dario, Paolo |
author_facet |
Pinpin, Lord Kenneth M. Johansson, Roland S. Laschi, Cecilia Dario, Paolo |
author_sort |
Pinpin, Lord Kenneth M. |
title |
Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
title_short |
Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
title_full |
Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
title_fullStr |
Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
title_full_unstemmed |
Gaze interface: Utilizing human predictive gaze movements for controlling a HBS |
title_sort |
gaze interface: utilizing human predictive gaze movements for controlling a hbs |
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Animo Repository |
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2008 |
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https://animorepository.dlsu.edu.ph/faculty_research/12782 |
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1806511035787509760 |