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Mapping facial gestures to control cursors and switches

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If you have a question about this talk, please contact Carl Scheffler .

The OpenGazer project has recently been revived! OpenGazer is an open source application that tracks a user’s gaze directly from webcam images in real-time. The final goal is to write in Dasher using only one’s eyes. I will discuss work in progress on two problems that we are trying to solve:

1) A binary gesture switch: Here the problem is to learn “yes” and “no” gestures from facial images captured from an ordinary webcam. The learning is done in a short setup phase, after which these signals are automatically detected. I will show some preliminary results. We hope that this switch can be used as a communication device for patients with locked-in syndrome.

2) Robust head pose estimation: Here the problem is to control a mouse cursor with one’s head. Again, there is a short training phase involved (specific to the user), after which a regression algorithm computes the corresponding cursor coordinates.

This talk is part of the Inference Group series.

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Online via zoom & Kings Hedges Room Main Le Hybrid: JDB Teaching Room, Engineering Department or Zoom: https://cam-ac-uk.zoom.us/j/81208506346?pwd=htfSCSr9PDFluWw7fJirGOM6c7EbTK.1

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