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Sensors 2017, 17(4), 862; doi:10.3390/s17040862

Fuzzy System-Based Target Selection for a NIR Camera-Based Gaze Tracker

Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea
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Academic Editor: Joonki Paik
Received: 15 February 2017 / Revised: 29 March 2017 / Accepted: 11 April 2017 / Published: 14 April 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)

Abstract

Gaze-based interaction (GBI) techniques have been a popular subject of research in the last few decades. Among other applications, GBI can be used by persons with disabilities to perform everyday tasks, as a game interface, and can play a pivotal role in the human computer interface (HCI) field. While gaze tracking systems have shown high accuracy in GBI, detecting a user’s gaze for target selection is a challenging problem that needs to be considered while using a gaze detection system. Past research has used the blinking of the eyes for this purpose as well as dwell time-based methods, but these techniques are either inconvenient for the user or requires a long time for target selection. Therefore, in this paper, we propose a method for fuzzy system-based target selection for near-infrared (NIR) camera-based gaze trackers. The results of experiments performed in addition to tests of the usability and on-screen keyboard use of the proposed method show that it is better than previous methods. View Full-Text
Keywords: GBI; gazing at a target to select it; fuzzy system; NIR camera-based gaze tracker GBI; gazing at a target to select it; fuzzy system; NIR camera-based gaze tracker
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Naqvi, R.A.; Arsalan, M.; Park, K.R. Fuzzy System-Based Target Selection for a NIR Camera-Based Gaze Tracker. Sensors 2017, 17, 862.

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