The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2016
Session ID : 1A2-14a4
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Wearable Device for Camera-Based Eye Tracking
-Model Approach using Cornea Images-
Lotfi EL HAFIPedro URIGUEN ELJURIMing DINGJun TAKAMATSUTsukasa OGASAWARA
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Abstract

The industry's recent growing interest in virtual reality, augmented reality and smart wearable devices has created a new momentum for eye tracking. Eye movements in particular are viewed as a way to obtain natural user responses from wearable devices alongside gaze information used to analyze interests and behaviors. This paper extends our previous work by introducing a wearable eye-tracking device that enables the reconstruction of 3D eye models of each eye from two RGB cameras. The proposed device is built using high-resolution cameras and a 3D-printed frame attached to a pair of JINS MEME glasses. The 3D eye models reconstructed from the proposed device can be used with any model-based eye-tracking approach. The proposed device is also capable of extracting scene information from the cornea reflections captured by the cameras, detecting blinks from an electrooculography sensor as well as tracking head movements from an accelerometer combined with a gyroscope.

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© 2016 The Japan Society of Mechanical Engineers
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