A Survey of Event Detection Methods for Eye Movements Classification in Smooth-Pursuit-Based Interactive Applications

Wibirama, Sunu and Murnani, Suatmi and Setiawan, Noor Akhmad and Nurlatifa, Hafzatin (2020) A Survey of Event Detection Methods for Eye Movements Classification in Smooth-Pursuit-Based Interactive Applications. In: International Symposium on Community-Centric Systems, CcS 2020.

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Abstract

Gaze-based interaction is an important research area in the field of human-computer interaction. Gaze-based input gives benefit for motion-impaired people and provides faster and intuitive interaction with an application content. Developing gaze-based interactive applications has to deal with several challenges: data processing, eye movements classification, and action. Smooth pursuit eye movement has been used as one of primary input modalities for gaze-based interactive applications. In developing smooth-pursuit-based interactive applications, challenge in the event classification is important to be addressed. However, there is no survey paper that studies various event detection methods in smooth-pursuit-based interactive applications. To tackle this research gap, we present a brief literature review of some event detection methods that consider smooth pursuit eye movement. This paper also presents a preliminary comparison of event detection methods based on some properties that are needed in smooth-pursuit-based interactive applications. From the preliminary comparison, there are some considerations to be taken in to account in order to develop smooth-pursuit-based interactive applications. © 2020 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 8; Conference name: 2020 International Symposium on Community-Centric Systems, CcS 2020; Conference date: 23 September 2020 through 26 September 2020; Conference code: 164297
Uncontrolled Keywords: Event Detection; Interactive Application; Review; Smooth Pursuit
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 12 Aug 2025 07:51
Last Modified: 12 Aug 2025 07:51
URI: https://ir.lib.ugm.ac.id/id/eprint/16742

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