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Eyelid gestures for people with motor impairments

Published: 17 December 2021 Publication History

Abstract

Although eye-based interactions can be beneficial for people with motor impairments, they often rely on clunky or specialized equipment (e.g., stationary eye-trackers) and focus primarily on gaze and blinks. However, two eyelids can open and close in different orders and for different duration to form rich eyelid gestures. We take a first step to design, detect, and evaluate a set of eyelid gestures for people with motor impairments on mobile devices. We present an algorithm to detect nine eyelid gestures on smartphones in real time and evaluate it with 12 able-bodied people and 4 people with severe motor impairments in two studies. The results of the study with people with motor-impairments show that the algorithm can detect the gestures with .76 and .69 overall accuracy in user-dependent and user-independent evaluations. Furthermore, we design and evaluate a gesture mapping scheme for people with motor impairments to navigate mobile applications only using eyelid gestures. Finally, we discuss considerations for designing and using eyelid gestures for people with motor impairments.

References

[1]
Albert, M.V., Toledo, S., Shapiro, M., Koerding, K. Using mobile phones for activity recognition in Parkinson's patients. Front. Neurol. 3, 158 (2012), 7.
[2]
Araujo, J.M., Zhang, G., Hansen, J.P.P., Puthusserypady, S. Exploring eye-gaze wheelchair control. In ACM Symposium on Eye Tracking Research and Applications (2020), ACM Press, New York, USA, 1--8.
[3]
A. Association. Who gets als? ALS Association, 2020. https://www.als.org/understanding-als/who-gets-als.
[4]
Fan, M., Li, Z., Li, F.M. Eyelid gestures on mobile devices for people with motor impairments. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility, (New York, NY, USA, 2020), Association for Computing Machinery, NY, USA.
[5]
N. C. for Health Statistics et al. Summary Health Statistics: National Health Interview Survey, 2018.
[6]
Jota, R., Wigdor, D. Palpebrae superioris: Exploring the design space of eyelid gestures. In Proceedings of the 41st Graphics Interface Conference (Toronto, Ontario, Canada, 2015), Canadian Human-Computer Communications Society, ACM Press, New York, USA, 3--5.
[7]
Leiva, L., Böhmer, M., Gehring, S., Krüger, A. Back to the app: the costs of mobile application interruptions. In Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices And Services (New York, New York, USA, 2012), ACM Press, New York, USA, 291.
[8]
Li, Z., Fan, M., Han, Y., Truong, K.N. iWink: Exploring eyelid gestures on mobile devices. In Proceedings of the 1st International Workshop on Human-Centric Multimedia Analysis, (New York, NY, USA, 2020), Association for Computing Machinery, New York, USA, 83--89.
[9]
G. LLC. Mobile Vision | Google Developers, 2019.
[10]
MacKenzie, I.S., Ashtiani, B. Blinkwrite: Efficient text entry using eye blinks. Universal Access Information Soc. 10, 1 (2011), 69--80.
[11]
Morris, M.R., Wobbrock, J.O., Wilson, A.D. Understanding users' preferences for surface gestures. In Proceedings of Graphics Interface (Toronto, Ontario, Canada, 2010), Canadian Information Processing Society, ACM Press, New York, USA, 261--268.
[12]
Naftali, M., Findlater, L. Accessibility in context: understanding the truly mobile experience of smartphone users with motor impairments. In Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (2014), ACM Press, New York, USA, 209--216.
[13]
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al. Scikit-learn: Machine learning in python. J. Mach. Learn, Res. 12, (2011), 2825--2830.
[14]
Pedrosa, D., Pimentel, M.D.G., Wright, A., Truong, K.N. Filteryedping: Design challenges and user performance of dwell-free eye typing. ACM Trans. Accessible Comput. 6, 1 (2015), 1--37.
[15]
Pradhan, A., Mehta, K., Findlater, L. "Accessibility came by accident" use of voice-controlled intelligent personal assistants by people with disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (2018), ACM Press, New York, USA, 1--13.
[16]
Printy, B.P., Renken, L.M., Herrmann, J.P., Lee, I., Johnson, B., Knight, E., Varga, G., Whitmer, D. Smartphone application for classification of motor impairment severity in parkinson's disease. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2014), IEEE, 2686--2689.
[17]
Rozado, D., Niu, J., Lochner, M. Fast human-computer interaction by combining gaze pointing and face gestures. ACM Trans. Accessible Comput. 10, 3 (2017), 1--18.
[18]
Ruiz, J., Li, Y., Lank, E. User-defined motion gestures for mobile interaction. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (New York, New York, USA, 2011), ACM Press, New York, USA.
[19]
Sears, A., Karat, C.-M., Oseitutu, K., Karimullah, A., Feng, J. Productivity, satisfaction, and interaction strategies of individuals with spinal cord injuries and traditional users interacting with speech recognition software. Universal Access Information Soc. 1, 1 (2001), 4--15.
[20]
Stern, J.A., Walrath, L.C., Goldstein, R. The endogenous eyeblink. Psychophysiology 21, 1 (1984), 22--33.
[21]
White, N.-H., Black, N.-H. Spinal cord injury (sci) facts and figures at a glance. In National Spinal Cord Injury Statistical Center, Facts and Figures at a Glance, Birmingham (2016).
[22]
Wobbrock, J.O., Rubinstein, J., Sawyer, M.W., Duchowski, A.T. Longitudinal evaluation of discrete consecutive gaze gestures for text entry. In Proceedings of the 2008 Symposium on Eye Tracking Research & Applications (2008), ACM Press, New York, USA, 11--18.
[23]
Zhang, X., Kulkarni, H., Morris, M.R. Smartphone-based gaze gesture communication for people with motor disabilities. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (2017), ACM Press, New York, USA, 2878--2889.

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 65, Issue 1
January 2022
106 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3507640
Issue’s Table of Contents
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 December 2021
Published in CACM Volume 65, Issue 1

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Cited By

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  • (2024)A3C: An Image-Association-Based Computing Device Authentication Framework for People with Upper Extremity ImpairmentsACM Transactions on Accessible Computing10.1145/365252217:2(1-37)Online publication date: 28-May-2024
  • (2024)Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VRProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642884(1-19)Online publication date: 11-May-2024
  • (2024)Co-design Accessible Public Robots: Insights from People with Mobility Disability, Robotic Practitioners and Their CollaborationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642875(1-20)Online publication date: 11-May-2024
  • (2024)“Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with DystoniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642378(1-11)Online publication date: 11-May-2024
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  • (2023)The Robot in Our Path: Investigating the Perceptions of People with Motor Disabilities on Navigating Public Space Alongside Sidewalk RobotsProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3614508(1-6)Online publication date: 22-Oct-2023
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  • (2023)Understanding Wheelchair Users’ Preferences for On-Body, In-Air, and On-Wheelchair GesturesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580929(1-16)Online publication date: 19-Apr-2023
  • (2023)Sequential Eyelid Gestures for User Interfaces in VR2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW58643.2023.00201(717-718)Online publication date: Mar-2023
  • (2022)Wigglite: Low-cost Information Collection and TriageProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545661(1-16)Online publication date: 29-Oct-2022
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