Fixational Feature-Based Gaze Pattern Recognition using Long Short-Term Memory
Conference proceedings article
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Publication Details
Author list: Yeamkuan S., Chamnongthai K.
Publisher: Hindawi
Publication year: 2020
Start page: 1103
End page: 1106
Number of pages: 4
ISBN: 9789881476883
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
The pattern of eye gaze is increasingly powerful for human-computer interaction tasks. Understanding of gaze pattern can provide valuable information regarding to users' attention. Certainly, the patterns of eye gaze known as eye accessing cues are related to the cognitive processes of the human brain. In this paper we propose a method for gaze patterns recognition, where a gaze data was collected from eye tracker. Consequently, a gaze fixation feature and Long Short- Term Memory technique is employed in this work for the recognition. To evaluate the performance of the proposed method, we have an experiment with 7 examiners, in which they have to looked at 3 tasks of point, rotate and slide on screen. The experimental results show the proposed method offering favorable performance on a standard eye tracker, respectively. © 2020 APSIPA.
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