Cited By
View all- Mokatren MKuflik TShimshoni I(2022)3D Gaze Estimation Using RGB-IR CamerasSensors10.3390/s2301038123:1(381)Online publication date: 29-Dec-2022
Exploring Potential Gestures for Controlling an Eye-Tracker Based System
Pages 211 - 213
Abstract
Body gestures could be used as an intuitive interaction method with computerized systems. Previous studies explored gesture-based interaction mostly with digital displays, thus there is no standard set of gestures for a system that lacks a display. In this work we conducted a pilot study to explore the potential of using gestures to control an eye tracker based mobile museum visitors’ guide. Our objective was to identify a user-defined set of gestures for controlling the mobile guide. In this work we present the preliminary results of the experiment and discuss the participants’ suggestions and concerns for using this type of interaction.
References
[1]
Moayad Mokatren, Tsvi Kuflik, and Ilan Shimshoni. 2018. Exploring the potential of a mobile eye tracker as an intuitive indoor pointing device: A case study in cultural heritage. Future generation computer systems, 81,528-541. http://dx.doi.org/10.1016/j.future.2017.07.007
[2]
Jackie Moyes. 1993. Icon design and its effect on guessability, learnability, and experienced user performance. People and computers, (8), 49-60.
[3]
Jacob O. Wobbrock, Htet Htet Aung, Brandon Rothrock, and Brad A. Myers. 2005. Maximizing the guessability of symbolic input. In CHI'05 extended abstracts on Human Factors in Computing Systems, 1869-1872.
[4]
Roland Aigner, Daniel Wigdor, Hrvoje Benko, Michael Haller, David Lindbauer, Alexandra Ion, Shengdong Zhao, and Jeffrey Koh. 2012. Understanding mid-air hand gestures: A study of human preferences in usage of gesture types for hci. Microsoft Research TechReport MSR-TR-2012-111 (2), 30-40.
Index Terms
- Exploring Potential Gestures for Controlling an Eye-Tracker Based System
Index terms have been assigned to the content through auto-classification.
Recommendations
Eye-based head gestures
ETRA '12: Proceedings of the Symposium on Eye Tracking Research and ApplicationsA novel method for video-based head gesture recognition using eye information by an eye tracker has been proposed. The method uses a combination of gaze and eye movement to infer head gestures. Compared to other gesture-based methods a major advantage ...
Design a Real-Time Eye Tracker
ICVIP '18: Proceedings of the 2018 2nd International Conference on Video and Image ProcessingAn eye tracker is a device for measuring eye positions and eye movement. During the past decades, various approaches have been presented for eye tracking systems such as helping disabled people in various tasks including communication, writing emails, ...
Exploring Eye Expressions for Enhancing EOG-Based Interaction
Human-Computer Interaction – INTERACT 2023AbstractThis paper explores the classification of eye expressions for EOG-based interaction using JINS MEME, an off-the-shelf eye-tracking device. Previous studies have demonstrated the potential for using electrooculography (EOG) for hands-free human-...
Comments
Information & Contributors
Information
Published In
December 2021
263 pages
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 February 2022
Check for updates
Author Tags
Qualifiers
- Poster
- Research
- Refereed limited
Conference
MUM 2021
MUM 2021: 20th International Conference on Mobile and Ubiquitous Multimedia
December 5 - 8, 2021
Leuven, Belgium
Acceptance Rates
Overall Acceptance Rate 190 of 465 submissions, 41%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 32Total Downloads
- Downloads (Last 12 months)10
- Downloads (Last 6 weeks)1
Reflects downloads up to 11 Jan 2025
Other Metrics
Citations
Cited By
View all- Mokatren MKuflik TShimshoni I(2022)3D Gaze Estimation Using RGB-IR CamerasSensors10.3390/s2301038123:1(381)Online publication date: 29-Dec-2022
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format