WEARABLE REAL TIME HEALTH TRACKERS AND ASSISTED-MOBILITY FOR NON-AMBULANT PATIENTS
DOI:
https://doi.org/10.29121/granthaalayah.v5.i4RACSIT.2017.3349Keywords:
Computer Vision, Image Processing Techniques, Hough Transform, Wheelchair Control, Real-Time ApplicationAbstract [English]
This paper presents an approach to facilitate mobility for the non-ambulant patients using eye movements and wearable health tracking. The patient’s wheelchair movement is controlled using eye ball movements and also some biomedical assistance functionalities are considered to match the current day needs. The proposed work first detects face from input video, then eye portion will be localized, and finally eye ball (pupil) is detected and tracked using computer vision techniques. The direction of movement is assessed and a command is disseminated to the wheelchair control system. The wearable sensors and\or alarms mounted on patients will update current health status indications on to the monitoring panels. The wearable devices have evolved very smartly which are capable enough to take care of the patient health in real time even during assisted mobility.
Downloads
References
S. K. Card, A. Newell, and T. P. Moran, “The psychology of human computer interaction,”, 1983.
B. Shackel, “Note on mobile eye viewpoint recording,” JOSA, vol. 50, no. 8, pp. 763-768, 1960. DOI: https://doi.org/10.1364/JOSA.50.000763
C. H. Morimoto, and M. R. M. Mimica, “Eye gaze tracking techniques for interactive applications,” Computer Vision and Image Understanding, vol. 98, no. 1, pp. 424, 2005. DOI: https://doi.org/10.1016/j.cviu.2004.07.010
A. Duchowski, Eye tracking methodology: Theory and practice, volume 373. Springer Science & Business Media, 2007.
T. Levola, Eye-gaze tracking, July 6 2004. US Patent 6,758,563.
D. W. Hansen, Eye gaze tracking, July 8 2008. US Patent App. 13/003,030.
B. L. Nguyen, “Eye gaze tracking,” In Computing and Communication Technologies, 2009. RIVF09. International Conference on, pp. 1-4. IEEE, 2009. DOI: https://doi.org/10.1109/RIVF.2009.5174639
C. Ware, and H. H. Mikaelian, “An evaluation of an eye tracker as a device for computer input2,” In ACM SIGCHI Bulletin, vol. 17, pp. 183- 188, 1987. DOI: https://doi.org/10.1145/30851.275627
J. L. Levine, An eye-controlled computer, IBM Research Division, TJ Watson Research Center, 1981.
R. Stiefelhagen, J. Yang, and A. Waibel, “Tracking eyes and monitoring eye gaze,” In Proc. Workshop on Perceptual User Interfaces, pp. 98-100, 1997.
Hansen, D.W. and Pece, A.E., “Eye tracking in the wild.” Computer Vision and Image Understanding, vol. 98, no. 1, pp. 155-181, 2005. DOI: https://doi.org/10.1016/j.cviu.2004.07.013
Xia Liu ―Real-time eye detection and tracking for driver observation under various light conditions‖,Intelligent Vehicle Symposium, June 2002.
Zhang Guang Yuan ―A real-time eye detection system based on the active IR illumination‖ Control and Decision Conference. 2008. DOI: https://doi.org/10.1109/CCDC.2008.4597516
M. Eriksson, and N.P. Papanikotopoulos, ―Eye-tracking for detection of driver fatigue,‖ in Proc.Int. Conf. Intelligent Transportation Systems, Boston, pp. 314- 319, 1997.
S. Singh, and N.P. Papanikolopoulos, ―Monitoring driver fatigue using facial analysis techniques,‖ in Proc. Int. Conf. Intelligent Transportation Systems, Tokyo, Japan, pp. 314-318, 1999.
Paul Viola and Michael Jones "Rapid Object Detection using a Boosted Cascade of Simple Features", Conference on computer vision and pattern recognition, 2001.
M. Turk, and A. Pentland, "Eigen faces for Recognition", Journal of Cognitive Neuro sicence, Vol. 3, No. 1, 1991 DOI: https://doi.org/10.1162/jocn.1991.3.1.71
R. Grace, ―Drowsy driver monitor and warning system,‖ in Proc. Int.DrivingSymp. Human Factors in Driver Assessment, Training andVehicle Design, 2001. DOI: https://doi.org/10.17077/drivingassessment.1010
Khairosfaizal, W. W. M. and Nor’aini, A. J, “Eyes detection in facial images using circular hough transform.” In Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on, pp. 238-242. IEEE, 2009.
M. Soltany, S. T. Zadeh, and H. R. Pourreza, “Fast and accurate pupil positioning algorithm using circular Hough transform and gray projection.” In International Conference on Computer Communication and Management (CSIT), vol. 5, pp. 556-561. 2011.
Downloads
Published
How to Cite
Issue
Section
License
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.