Year
2012
Degree Name
Doctor of Philosophy
Department
School of Computer Science and Software Engineering
Recommended Citation
Meers, Simon, Head-controlled perception via electro-neural stimulation, Doctor of Philosophy thesis, School of Computer Science and Software Engineering, University of Wollongong, 2012. https://ro.uow.edu.au/theses/3769
Abstract
This thesis explores the use of head-mounted sensors combined with haptic feedback for providing effective and intuitive perception of the surrounding environment for the visually impaired. Additionally, this interaction paradigm is extended to providing haptic perception of graphical computer interfaces. To achieve this, accurate sensing of the head itself is required for tracking the user's "gaze" position instead of sensing the environment. Transcutaneous electro-neural feedback is utilised as a substitute for the retina's neural input, and is shown to provide a rich and versatile communication interface without encumbering the user's auditory perception.
Systems are presented for:
facilitating obstacle avoidance and localisation via electro-neural stimulation of intensity proportional to distance (obtained via head-mounted stereo cameras or infrared range sensors);
encoding of colour information (obtained via a head-mounted video camera or dedicated colour sensor) for landmark identification using electro-neural frequency;
navigation using GPS data by encoding landmark identifiers into short pulse patterns and mapping fingers/sensors to bearing regions (aided by a head-mounted digital compass);
tracking human head-pose using a single video camera with accuracy within 0.5degrees;
utilising time-of-flight sensing technology for head-pose tracking and facial recognition;
non-visual manipulation of a typical software "desktop" graphical user interface using point-and-click and drag-and-drop interactions;
and haptic perception of the spatial layout of pages on the World Wide Web, contrasting output via electro-neural stimulation and Braille displays.
Preliminary experimental results are presented for each system. References to many new research endeavours building upon the concepts pioneered in this project are also provided.
FoR codes (2008)
0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0899 OTHER INFORMATION AND COMPUTING SCIENCES, 170299 Cognitive Science not elsewhere classified
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.