Abstract
This paper introduces a method to identify the focused object in eye images captured from a single camera in order to enable intuitive eye-based interactions using wearable devices. The proposed method relies on a 3D eye model reconstruction to evaluate the gaze direction from the eye images. The gaze direction is then used in combination with deep learning algorithms to classify the focused object reflected on the cornea. Experimental results using a wearable prototype demonstrate the potential of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
