Paper Info
Title
Gazture: Design and Implementation of a Gaze based Gesture Control System on Tablets.
Abstract
We present Gazture, a light-weight gaze based real-time gesture control system on commercial tablets. Unlike existing approaches that require dedicated hardware (e.g., high resolution camera), high computation overhead (powerful CPU) or specific user behavior (keeping head steady), Gazture provides gesture recognition based on easy-to-control user gaze input with a small overhead. To achieve this goal, Gazture incorporates a two-layer structure: The first layer focuses on real-time gaze estimation with acceptable tracking accuracy while incurring a small overhead. The second layer implements a robust gesture recognition algorithm while compensating gaze estimation error. To address user posture change while using mobile device, we design a online transfer function based method to convert current eye features into corresponding eye features in reference posture, which then facilitates efficient gaze position estimation. We implement Gazture on Lenovo Tab3 8 Plus tablet with Android 6.0.1, and evaluate its performance in different scenarios. The evaluation results show that Gazture can achieve a high accuracy in gesture recognition while incurring a low overhead.
Year
DOI
Venue
2017
10.1145/3130939
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
DocType
Volume
Issue
Journal
1
3
ISSN
Citations 
PageRank 
2474-9567
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yinghui Li100.34
Zhichao Cao217223.04
Jiliang Wang356443.33