Bioinformatics and Biomedical Engineering – Chou & Zhou (Eds)
© 2016 Taylor & Francis Group, London, ISBN 978-1-138-02784-8
271
Combining eye gaze detection with vision-based object
recognition for a portable Human-Machine Interface
C.X. Yuan, J. Jiang, J.S. Tang, Z.T. Zhou & D.W. Hu
College of Mechatronics and Automation, National University of Defense Technology,
Changsha, Hunan, China
ABSTRACT: Eye gaze is an ideal input channel to construct convenient and natural
Human-Machine Interfaces (HMI). However, the Midas Touch problem must be taken into
consideration under the gaze-based HMI systems. In this paper, We incorporated the vision-
based object recognition method into the traditional gaze-based HMI system to avoid the
error commands caused ...