survey

Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic Review

Authors:

Nishan Gunawardena,

Jeewani Anupama Ginige,

Bahman JavadiAuthors Info & Claims

ACM Computing Surveys, Volume 55, Issue 8

Article No.: 158, Pages 1 - 33

https://doi.org/10.1145/3546938

Published: 23 December 2022 Publication History

Abstract

Eye-tracking provides invaluable insight into the cognitive activities underlying a wide range of human behaviours. Identifying cognitive activities provides valuable perceptions of human learning patterns and signs of cognitive diseases like Alzheimer’s, Parkinson’s, and autism. Also, mobile devices have changed the way that we experience daily life and become a pervasive part. This systematic review provides a detailed analysis of mobile device eye-tracking technology reported in 36 studies published in high-ranked scientific journals from 2010 to 2020 (September), along with several reports from grey literature. The review provides in-depth analysis on algorithms, additional apparatus, calibration methods, computational systems, and metrics applied to measure the performance of the proposed solutions. Also, the review presents a comprehensive classification of mobile device eye-tracking applications used across various domains such as healthcare, education, road safety, news, and human authentication. We have outlined the shortcomings identified in the literature and the limitations of the current mobile device eye-tracking technologies, such as using the front-facing mobile camera. Further, we have proposed an edge computing driven eye-tracking solution to achieve the real-time eye-tracking experience. Based on the findings, the article outlines various research gaps and future opportunities that are expected to be of significant value for improving the work in the eye-tracking domain.

References

[1]

Shaden Al-Zeer, Amjad Al-Ghanim, and Lyan Al-Wakeel. 2014. Visual attention in interaction with Arabic augmentative and alternative communication apps. In Proceedings of the 3rd International Conference on User Science and Engineering (i-USEr’14). IEEE, 210–215.

[2]

Bhojan Anand and Pan Wenren. 2017. CloudHide: Towards latency hiding techniques for thin-client cloud gaming. In Proceedings of the Thematic Workshops of ACM Multimedia. 144–152.

Digital Library

[3]

Cisco Annual and Internet Report. 2018. White Paper Cisco Public. Technical Report. Retrieved from https://www.cisco.com/c/en/us/solutions/collateral/executiveperspectives/annual-internet-report/white-paper-c11-741490.html.

[4]

Sinan Aşçı and Kerem Rızvanoğlu. 2014. Left vs. right-handed UX: A comparative user study on a mobile application with left and right-handed users. In Proceedings of the International Conference of Design, User Experience, and Usability. Springer, 173–183.

[5]

Mihai Bâce, Sander Staal, and Andreas Bulling. 2019. Accurate and robust eye contact detection during everyday mobile device interactions. Retrieved from https://arXiv:1907.11115.

[6]

Mihai Bâce, Sander Staal, and Andreas Bulling. 2020. How far are we from quantifying visual attention in mobile HCI? IEEE Pervas. Comput. 19, 2 (2020), 46–55.

[7]

Ralf Biedert, Andreas Dengel, Georg Buscher, and Arman Vartan. 2012. Reading and estimating gaze on smart phones. In Proceedings of the Symposium on Eye Tracking Research and Applications. 385–388.

Digital Library

[8]

Pieter Blignaut and Daniël Wium. 2014. Eye-tracking data quality as affected by ethnicity and experimental design. Behavior Research Methods 46, 1 (Apr.2014), 67–80.

[9]

Bruce Bridgeman, Derek Hendry, and Lawrence Stark. 1975. Failure to detect displacement of the visual world during saccadic eye movements. Vision Res. 15, 6 (1975), 719–722.

[10]

John Canny. 1986. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell.6 (1986), 679–698.

Digital Library

[11]

Chensi Cao, Feng Liu, Hai Tan, Deshou Song, Wenjie Shu, Weizhong Li, Yiming Zhou, Xiaochen Bo, and Zhi Xie. 2018. Deep learning and its applications in biomedicine. Genom. Proteom. Bioinform. 16, 1 (2018), 17–32.

[12]

C. B. Chen, X. L. Wu, and Wei Huang. 2009. Fast integral projection algorithm. J. Chinese Comput. Syst. 4 (2009), 41.

[13]

David Crundall, Claire Shenton, and Geoffrey Underwood. 2004. Eye movements during intentional car following. Perception 33, 8 (2004), 975–986.

[14]

Joakim Dahlberg and Kenneth Bodin. 2010. Eye Tracking With Eye Glasses. Technical Report.

[15]

Navneet Dalal and Bill Triggs. 2005. Histograms of oriented gradients for human detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), Vol. 1. IEEE, 886–893.

Digital Library

[16]

Thanh-Chung Dao. 2014. Real-time eye tracking analysis from large scale dataset using cloud computing. School of Computing, University of Eastern Finland.

[17]

Yael De Haan, Sanne Kruikemeier, Sophie Lecheler, Gerard Smit, and Renee van der Nat. 2018. When does an infographic say more than a thousand words? Audience evaluations of news visualizations. Journal. Studies 19, 9 (2018), 1293–1312.

[18]

Jiankang Deng, Yuxiang Zhou, Shiyang Cheng, and Stefanos Zaferiou. 2018. Cascade multi-view hourglass model for robust 3d face alignment. In Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG’18). IEEE, 399–403.

Digital Library

[19]

Alexa Domachowski, Joachim Griesbaum, and Ben Heuwing. 2016. Perception and effectiveness of search advertising on smartphones. Proc. Assoc. Info. Sci. Technol. 53, 1 (2016), 1–10.

[20]

Johanna Dunaway, Kathleen Searles, Mingxiao Sui, and Newly Paul. 2018. News attention in a mobile era. J. Comput.-Mediat. Commun. 23, 2 (2018), 107–124.

[21]

Mohammed E. Fathy, Vishal M. Patel, and Rama Chellappa. 2015. Face-based active authentication on mobile devices. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’15). Institute of Electrical and Electronics Engineers, 1687–1691.

[22]

Richard Fleming, John Zeisel, and Kirsty Bennett. 2020. World Alzheimer Report 2020—Design Dignity Dementia: Dementia-related Design and the Built Environment, Vol. 1, 248 pages. Retrieved from https://www.alzint.org/resource/world-alzheimer-report-2020/.

[23]

Yoav Freund and Robert E. Schapire. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55, 1 (1997), 119–139.

Digital Library

[24]

Alexandra Frischen, Andrew P. Bayliss, and Steven P. Tipper. 2007. Gaze cueing of attention: Visual attention, social cognition, and individual differences. Psychol. Bull. 133, 4 (2007), 694.

[25]

Keinosuke Fukunaga and Larry Hostetler. 1975. The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Trans. Info. Theory 21, 1 (1975), 32–40.

Digital Library

[26]

Fabio Giust, Gianluca Verin, Kiril Antevski, Joey Chou, Yonggang Fang, Walter Featherstone, Francisco Fontes, Danny Frydman, Alice Li, Antonio Manzalini, et al. 2018. MEC deployments in 4G and evolution towards 5G. ETSI White Paper 24 (2018), 1–24.

[27]

Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker. 2008. Multi-PIE. In Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG’08).

[28]

K. A. N. N. P. Gunawardena, R. N. Rajapakse, and N. D. Kodikara. 2017. Applying convolutional neural networks for pre-detection of alzheimer’s disease from structural MRI data. In Proceedings of the 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP’17). IEEE, 1–7.

[29]

Nishan Gunawardena, Michael Matscheko, Bernhard Anzengruber, Alois Ferscha, Martin Schobesberger, Andreas Shamiyeh, Bettina Klugsberger, and Peter Solleder. 2019. Assessing surgeons’ skill level in laparoscopic cholecystectomy using eye metrics. In Proceedings of the 11th ACM Symposium on Eye Tracking Research and Applications (ETRA’19). ACM Press, New York, NY, 1–8.

Digital Library

[30]

Eric Hamilton. 2019. What is edge computing: The network edge explained. Retrieved from cloudwards.net.

[31]

Seongwon Han, Sungwon Yang, Jihyoung Kim, and Mario Gerla. 2012. EyeGuardian: A framework of eye tracking and blink detection for mobile device users. In Proceedings of the 12th Workshop on Mobile Computing Systems and Applications. 1–6.

[32]

Dan Witzner Hansen and Qiang Ji. 2009. In the eye of the beholder: A survey of models for eyes and gaze. IEEE Trans. Pattern Anal. Mach. Intell. 32, 3 (2009), 478–500.

Digital Library

[33]

Katarzyna Harezlak, Pawel Kasprowski, and Mateusz Stasch. 2014. Towards accurate eye tracker calibration -methods and procedures. In Procedia Computer Science, Vol. 35. Elsevier B.V., 1073–1081.

[34]

Kenneth Holmqvist, Marcus Nyström, Richard Andersson, Richard Dewhurst, Halszka Jarodzka, and Joost Van de Weijer. 2011. Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press, Oxford, UK.

[35]

Rein-Lien Hsu, Mohamed Abdel-Mottaleb, and Anil K. Jain. 2002. Face detection in color images. IEEE Trans. Pattern Anal. Mach. Intell. 24, 5 (2002), 696–706.

Digital Library

[36]

Yun Chao Hu, Milan Patel, Dario Sabella, Nurit Sprecher, and Valerie Young. 2015. Mobile edge computing—A key technology towards 5G. ETSI White Paper 11, 11 (2015), 1–16.

[37]

Qiong Huang, A. Veeraraghavan, and A. Sabharwal. 2015. TabletGaze: Unconstrained appearance-based gaze estimation in mobile tablets. Retrieved from https://arxiv.org/abs/1508.01244.

[38]

Qiong Huang, Ashok Veeraraghavan, and Ashutosh Sabharwal. 2016. TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets. Retrieved from https://arxiv.org/abs/1508.01244.

[39]

Oliver Jesorsky, Klaus J. Kirchberg, and Robert W. Frischholz. 2001. Robust face detection using the hausdorff distance. In Proceedings of the International Conference on Audio-and Video-based Biometric Person Authentication. Springer, 90–95.

[40]

Chi Jian-nan, Zhang Peng-yi, Zheng Si-yi, Zhang Chuang, and Huang Ying. 2009. Key techniques of eye gaze tracking based on pupil corneal reflection. In Proceedings of the WRI Global Congress on Intelligent Systems, Vol. 2. IEEE, 133–138.

Digital Library

[41]

Zhiping Jiang, Kun Zhao, Rui Li, and Jizhong Zhao. 2019. i-VALS: Visual attention localization for mobile service computing. IEEE Access 7 (2019), 45166–45181.

[42]

Mohamed Khamis, Anita Baier, Niels Henze, Florian Alt, and Andreas Bulling. 2018. Understanding face and eye visibility in front-facing cameras of smartphones used in the wild. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1–12.

Digital Library

[43]

Panos Konstantopoulos, Peter Chapman, and David Crundall. 2010. Driver’s visual attention as a function of driving experience and visibility. Using a driving simulator to explore driversâ eye movements in day, night and rain driving. Accident Anal. Prevent. 42 (2010), 825–832.

[44]

Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra Bhandarkar, Wojciech Matusik, and Antonio Torralba. 2016. Eye tracking for everyone. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2176–2184.

[45]

A. Kwiatkowska and D. Sawicki. 2018. Eye tracking as a method of controlling applications on mobile devices. In Proceedings of the International Joint Conference on e-Business and Telecommunications (ICETE’18).

[46]

Xun Li, Pablo J. Ortiz, Jeffrey Browne, Diana Franklin, John Y. Oliver, Roland Geyer, Yuanyuan Zhou, and Frederic T. Chong. 2010. Smartphone evolution and reuse: Establishing a more sustainable model. In Proceedings of the 39th International Conference on Parallel Processing Workshops. IEEE, 476–484.

Digital Library

[47]

Yantao Li, Fengtao Xue, Xinqi Fan, Zehui Qu, and Gang Zhou. 2018. Pedestrian walking safety system based on smartphone built-in sensors. IET Commun. 12, 6 (2018), 751–758.

Digital Library

[48]

Dachuan Liu, Bo Dong, Xing Gao, and Haining Wang. 2015. Exploiting eye tracking for smartphone authentication. In Proceedings of the International Conference on Applied Cryptography and Network Security. Springer, 457–477.

[49]

S. P. Liversedge, Iain D. Gilchrist, and S. Everling. 2012. The Oxford Handbook of Eye Movements. Oxford University Press, UK.

[50]

Yiqin Lu, Chun Yu, Shuyi Fan, Xiaojun Bi, and Yuanchun Shi. 2019. Typing on split keyboards with peripheral vision. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1–12.

Digital Library

[51]

David Manning, Susan Ethell, Tim Donovan, and Trevor Crawford. 2006. How do radiologists do it? The influence of experience and training on searching for chest nodules. Radiography 12, 2 (2006), 134–142.

[52]

Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, and Khaled B. Letaief. 2017. A survey on mobile edge computing: The communication perspective. IEEE Commun. Surveys Tutor. 19, 4 (2017), 2322–2358.

[53]

M. E. Marcove. 1938. On the motions of the eye in illustration of the uses of the muscles and nerves of the orbit. Amer. J. Ophthalmol. 21, 4 (1938), 456.

[54]

Alexander Mariakakis, Mayank Goel, Md Tanvir Islam Aumi, Shwetak N. Patel, and Jacob O. Wobbrock. 2015. SwitchBack: Using focus and saccade tracking to guide users’ attention for mobile task resumption. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 2953–2962.

Digital Library

[55]

Fabio Martinelli, Fiammetta Marulli, and Francesco Mercaldo. 2017. Evaluating convolutional neural network for effective mobile malware detection. Procedia Comput. Sci. 112 (2017), 2372–2381.

Digital Library

[56]

Brian W. Matthews. 1975. Comparison of the predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure 405, 2 (1975), 442–451.

[57]

Rhonda N. McEwen and Adam K. Dubé. 2015. Engaging or distracting: Children’s tablet computer use in education. J. Education. Technol. Soc. 18, 4 (2015), 9.

[58]

Emiliano Miluzzo, Tianyu Wang, and Andrew T. Campbell. 2010. EyePhone: Activating mobile phones with your eyes. In Proceedings of the 2nd ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds. 15–20.

Digital Library

[59]

David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G. Altman, Prisma Group, et al. 2009. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 6, 7 (2009), e1000097.

[60]

Daniel R. Montello and Martin Raubal. 2013. Functions and applications of spatial cognition. American Psychological Association. https://psycnet.apa.org/record/2012-08674-014.

[61]

Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, and Venkata N. Padmanabhan. 2019. ALT: Towards automating driver license testing using smartphones. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 29–42.

Digital Library

[62]

Brian D. Noble, Mahadev Satyanarayanan, Dushyanth Narayanan, James Eric Tilton, Jason Flinn, and Kevin R. Walker. 1997. Agile application-aware adaptation for mobility. ACM SIGOPS Operat. Syst. Rev. 31, 5 (1997), 276–287.

Digital Library

[63]

Christina Ohm, Manuel Müller, and Bernd Ludwig. 2017. Evaluating indoor pedestrian navigation interfaces using mobile eye tracking. Spatial Cogn. Comput. 17, 1–2 (2017), 89–120.

[64]

Kenneth Okereafor, Iniobong Ekong, Ini Okon Markson, and Kingsley Enwere. 2020. Fingerprint biometric system hygiene and the risk of COVID-19 transmission. JMIR Biomed. Eng. 5, 1 (Sep.2020), e19623.

[65]

Edgar Osuna, Robert Freund, and Federico Girosit. 1997. Training support vector machines: An application to face detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, 130–136.

Digital Library

[66]

Mwaffaq Otoom and Mohammad A. Alzubaidi. 2018. Ambient intelligence framework for real-time speech-to-sign translation. Assist. Technol. 30, 3 (2018), 119–132.

[67]

Lucas Paletta, Maria Fellner, Martin Pszeida, Alexander Lerch, Christian Kemp, Lara Pittino, Josef Steiner, Mariella Panagl, and Manuela Künstner. 2018. Playful multimodal training for persons with dementia with executive function based decision support. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference. 237–240.

Digital Library

[68]

Lucas Paletta, Helmut Neuschmied, Michael Schwarz, Gerald Lodron, Martin Pszeida, Stefan Ladstätter, and Patrick Luley. 2014. Smartphone eye tracking toolbox: Accurate gaze recovery on mobile displays. In Proceedings of the Symposium on Eye Tracking Research and Applications. 367–68.

Digital Library

[69]

Seonwook Park, Emre Aksan, Xucong Zhang, and Otmar Hilliges. [n. d.]. Towards End-to-end Video-based Eye-Tracking. Technical Report. Retrieved from https://ait.ethz.ch/projects/2020/EVE.

[70]

Carmelo Pino and Isaak Kavasidis. 2012. Improving mobile device interaction by eye tracking analysis. In Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS’12). IEEE, 1199–1202.

[71]

Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Bulbul Mukherjee, Sanjeevikumar Padmanaban, Aranyak Maity, Bijoy Kumar Upadhyaya, Jens Bo Holm-Nielsen, and Prasenjit Choudhury. 2019. Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage. IEEE Access 7 (2019), 182113–182172.

[72]

Carlos-Alberto Quintana-Nevárez, Nev´ Nevárez, Francisco L´Opez-Orozco, and Rogelio Florencia-Júuarez. [n. d.]. Biometric Authentication Based on Eye Movements By Using Scan-path Comparison Algorithms. Technical Report.

[73]

Lee Richstone, Michael J. Schwartz, Casey Seideman, Jeffrey Cadeddu, Sandra Marshall, and Louis R. Kavoussi. 2010. Eye metrics as an objective assessment of surgical skill. Ann. Surgery 252, 1 (2010), 177–182.

[74]

Henry A. Rowley, Shumeet Baluja, and Takeo Kanade. 1998. Neural network-based face detection. IEEE Trans. Pattern Anal. Mach. Intell. 20, 1 (1998), 23–38.

Digital Library

[75]

Oraya Sawettanusorn, Y. Senda, S. Kawato, N. Tetsutani, and H. Yamauchi. 2003. Real-time face detection using six-segmented rectangular filter. https://www.design-reuse.com/articles/6899/real-time-face-detection-using-six-segmented-rectangular-filter-ssr-filter-real-time-face-detection-using-six-segmented-rectangular-filter-ssr-filter.html.

[76]

Maximilian Schwalm, Andreas Keinath, and Hubert D. Zimmer. 2008. Pupillometry as a method for measuring mental workload within a simulated driving task. Human Factors for Assistance and Automation (Jan. 2008), 1–13.

[77]

Shakila Shayan, Dor Abrahamson, Arthur Bakker, Carolien A. C. G. Duijzer, and Marieke van der Schaaf. 2017. Eye-tracking the emergence of attentional anchors in a mathematics learning tablet activity. In Eye-tracking Technology Applications in Educational Research. IGI Global, 166–194.

[78]

Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. 2016. Edge computing: Vision and challenges. IEEE Internet Things J. 3, 5 (2016), 637–646.

[79]

Sheng-Wen Shih, Yu-Te Wu, and Jin Liu. 2000. A calibration-free gaze tracking technique. In Proceedings of the 15th International Conference on Pattern Recognition (ICPR’00), Vol. 4. IEEE, 201–204.

[80]

Chen Song, Aosen Wang, Kui Ren, and Wenyao Xu. 2016. Eyeveri: A secure and usable approach for smartphone user authentication. In Proceedings of the IEEE INFOCOM 35th Annual IEEE International Conference on Computer Communications. IEEE, 1–9.

Digital Library

[81]

Antti Stén, Antti Kaseva, and Teemupekka Virtanen. 2003. Fooling fingerprint scanners-biometric vulnerabilities of the precise biometrics 100 SC scanner. In Proceedings of the 4th Australian Information Warfare and IT Security Conference, Vol. 2003. 333–340.

[82]

Tarik Taleb, Sunny Dutta, Adlen Ksentini, Muddesar Iqbal, and Hannu Flinck. 2017. Mobile edge computing potential in making cities smarter. IEEE Commun. Mag. 55, 3 (2017), 38–43.

Digital Library

[83]

Ryuta Tonomura, Tadamitsu Tadamitsu, Atsushi Manji, Naoyuki Kubota, and Takenori Obo. 2018. Rehabilitation support system for attentional deficits based on trail-making test. In Proceedings of the Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS’18) and 19th International Symposium on Advanced Intelligent Systems (ISIS’18). IEEE, 1127–1132.

[84]

Tom Tullis and Bill Albert. 2013. Chapter 7—Behavioral and physiological metrics. In Measuring the User Experience (2nd ed.), Tom Tullis and Bill Albert (Eds.). Morgan Kaufmann, Boston, 163–186.

[85]

Vytautas Vaitukaitis and Andreas Bulling. 2012. Eye gesture recognition on portable devices. In Proceedings of the ACM Conference on Ubiquitous Computing. 711–714.

Digital Library

[86]

Nachiappan Valliappan, Na Dai, Ethan Steinberg, Junfeng He, Kantwon Rogers, Venky Ramachandran, Pingmei Xu, Mina Shojaeizadeh, Li Guo, Kai Kohlhoff, et al. 2020. Accelerating eye movement research via accurate and affordable smartphone eye tracking. Nature Commun. 11, 1 (2020), 1–12.

[87]

Anna Van Cauwenberge, Leen d’Haenens, and Hans Beentjes. 2015. How to take advantage of tablet computers: Effects of news structure on recall and comprehension. Communications 40, 4 (2015), 425–446.

[88]

Mélodie Vidal, Jayson Turner, Andreas Bulling, and Hans Gellersen. 2011. Wearable eye tracking for mental health monitoring.

Digital Library

[89]

Paul Viola and Michael Jones. 2001. Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’01). Vol. 1, IEEE.

[90]

Paul Viola and Michael J. Jones. 2004. Robust real-time face detection. Int. J. Comput. Vision 57, 2 (2004), 137–154.

Digital Library

[91]

Yao Wang, Wandong Cai, Tao Gu, Wei Shao, Ibrahim Khalil, and Xianghua Xu. 2018. GazeRevealer: Inferring password using smartphone front camera. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services. 254–263.

Digital Library

[92]

Sunu Wibirama and Hanung A. Nugroho. 2017. Towards understanding addiction factors of mobile devices: An eye tracking study on effect of screen size. In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17). IEEE, 2454–2457.

[93]

Erroll Wood and Andreas Bulling. 2014. Eyetab: Model-based gaze estimation on unmodified tablet computers. In Proceedings of the Symposium on Eye Tracking Research and Applications. 207–210.

Digital Library

[94]

Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, and Pan Hui. 2020. Edge intelligence: Architectures, challenges, and applications. Retrieved from https://arxiv.org/abs/2003.12172.

[95]

Alfred L. Yarbus. 1967. Eye movements during perception of complex objects. In Eye Movements and Vision. Springer, 171–211.

[96]

Ashkan Yousefpour, Caleb Fung, Tam Nguyen, Krishna Kadiyala, Fatemeh Jalali, Amirreza Niakanlahiji, Jian Kong, and Jason P. Jue. 2019. All one needs to know about fog computing and related edge computing paradigms: A complete survey. J. Syst. Architect. 98 (2019), 289–330.

Digital Library

[97]

Antonia Ypsilanti, Anna Robson, Lambros Lazuras, Philip A. Powell, and Paul G. Overton. 2020. Self-disgust, loneliness and mental health outcomes in older adults: An eye-tracking study. J. Affect. Disorders 266 (Apr.2020), 646–654.

[98]

Xiaoyi Zhang, Harish Kulkarni, and Meredith Ringel Morris. 2017. Smartphone-based gaze gesture communication for people with motor disabilities. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 2878–2889.

Digital Library

[99]

Yanxia Zhang, Andreas Bulling, and Hans Gellersen. 2014. Pupil-canthi-ratio: A calibration-free method for tracking horizontal gaze direction. In Proceedings of the International Working Conference on Advanced Visual Interfaces. 129–132.

[100]

Anjie Zhu, Qianjing Wei, Yilin Hu, Zhangwei Zhang, and Shiwei Cheng. 2018. MobiET: A new approach to eye tracking for mobile device. In Proceedings of the ACM International Joint Conference and International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 862–869.

Digital Library

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Index Terms

Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic Review
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 55, Issue 8

August 2023

789 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3567473

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University of Sydney, Australia

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Publication History

Published: 23 December 2022

Online AM: 07 July 2022

Accepted: 27 June 2022

Revised: 30 December 2021

Received: 30 March 2021

Published in CSUR Volume 55, Issue 8

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Awan AAhmed I(2023)Eyegaze Control Algorithm Using Machine Learning2023 International Conference on Engineering and Emerging Technologies (ICEET)10.1109/ICEET60227.2023.10525870(1-6)Online publication date: 27-Oct-2023
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