Abstract
Severe visual impairments make it difficult for users to work on a computer. For this reason, there is great demand for new technical aids on the computer to compensate for these limitations. Current magnification software makes it possible to adjust the screen content, but due to the lack of overview and the time-consuming use of the mouse it is sometimes difficult to find the right content. If another physical disability is involved, working on a computer often becomes even more difficult. In this paper, we present the development of an affordable magnification system based on a low-cost eye-tracking device, which can be adjusted to the visual impairment without the need for a mouse or keyboard by using the line of vision derived from eye or head movements. Two studies with experts and potential users showed the usefulness of the system.
Keywords
- Eye-tracking
- Head-tracking
- Magnifier
- Magnification software
- Low vision aid
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
Zoomtext. https://www.zoomtext.com/ (Retrieved 04/13/2020).
- 2.
SuperNova Magnifier. https://yourdolphin.com/products/individuals/supernova-magnifier-screen-reader (Retrieved 04/13/2020).
- 3.
JAWS. https://www.freedomscientific.com/products/software/jaws/ (Retrieved 04/13/2020).
- 4.
NVDA. https://www.nvaccess.org/ (Retrieved 04/13/2020).
- 5.
https://gaming.tobii.com/tobii-eye-tracker-4c/ (Retrieved 04/13/2020).
References
Chin, C.A., Barreto, A., Cremades, J.G., Adjouadi, M.: Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities. J. Rehabil. Res. Dev. 45(1), 161–174 (2008)
Raudonis, V., Paulauskaite-Taraseviciene, A., Maskeliunas, R.: Vision enhancement technique based on eye tracking system. In: Eriksson-Backa, K., Luoma, A., Krook, E. (eds.) WIS 2012. CCIS, vol. 313, pp. 150–160. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32850-3_14
Kao, W.C., Huang, K.J., Chiu, Y.C., Hung, M.Y., Shen, C.W.: Real-time image magnifier with visible-spectrum gaze tracker. In: 2018 International Symposium on Consumer Technologies (ISCT), pp. 22–23. IEEE, Piscataway, NJ (2018). https://doi.org/10.1109/ISCE.2018.8408907
Lupu, R.G., Ungureanu, F., Bozomitu, R.G.: Mobile embedded system for human computer communication in assistive technology. In: Letia, I.A. (ed.) 2012 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 209–212. IEEE, Piscataway, NJ (2012). https://doi.org/10.1109/ICCP.2012.6356187
Lupu, R.G., Ungureanu, F., Siriteanu, V.: Eye tracking mouse for human computer interaction. In: E-Health and Bioengineering Conference, EHB 2013, pp. 1–4. IEEE, Piscataway, NJ (2013). https://doi.org/10.1109/EHB.2013.6707244
Ashmore, M., Duchowski, A.T., Shoemaker, G.: Efficient eye pointing with a fisheye lens. http://andrewd.ces.clemson.edu/research/vislab/docs/gi05.pdf
Meghna, S.M., Ashlesha, T., Kachan, K.L., Baviskar, A.: Head tracking virtual mouse system based on ad boost face detection algorithm (2016). http://www.ijritcc.org/download/conferences/ICMTEST_2016/ICMTEST_2016_Track/1467100132_28-06-2016.pdf
Missimer, E., Betke, M.: Blink and wink detection for mouse pointer control. In: Makedon, F. (ed.) Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, p. 1. ACM, New York, NY (2010). https://doi.org/10.1145/1839294.1839322
Pölzer, S., Gander, E., Miesenberger, K.: Gaze based magnification to assist visually impaired persons. In: Miesenberger, K., Kouroupetroglou, G. (eds.) ICCHP 2018. LNCS, vol. 10897, pp. 333–337. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94274-2_46
Pölzer, S., Miesenberger, K.: Assisting people with nystagmus through image stabilization: Using an arx model to overcome processing delays. In: 2017 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society, pp. 1222–1225 (2017). https://doi.org/10.1109/EMBC.2017.8037051
Salunkhe, P., Patil, A.R.: A device controlled using eye movement. In: 2016 International Conference on Electrical, Electronics and Optimization Techniques (ICEEOT), pp. 732–735. IEEE, Piscataway, NJ (2016). https://doi.org/10.1109/ICEEOT.2016.7754779
Zhu, S.: Software magnifier with eye-tracking for visully impaired (February 2017). https://www.szs.kit.edu/english/287_1037.php
Zhang, X., Liu, X., Yuan, S.M., Lin, S.F.: Eye tracking based control system for natural human-computer interaction. Comput. Intell. Neurosci. 2017, 5739301 (2017). https://doi.org/10.1155/2017/5739301
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Schwarz, T., Akbarioroumieh, A., Melfi, G., Stiefelhagen, R. (2020). Developing a Magnification Prototype Based on Head and Eye-Tracking for Persons with Low Vision. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science(), vol 12376. Springer, Cham. https://doi.org/10.1007/978-3-030-58796-3_42
Download citation
DOI: https://doi.org/10.1007/978-3-030-58796-3_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58795-6
Online ISBN: 978-3-030-58796-3
eBook Packages: Computer ScienceComputer Science (R0)