Home   >   CSC-OpenAccess Library   >    Manuscript Information
Analytical Modeling and Verification of a Design for an Optical Assistive System
M. Ashraf Khan, Mohammad Shahidul Islam, Taskin Binte Karim, Mahmoud Manzoul, Rajani Muraleedharan
Pages - 1 - 14     |    Revised - 28-02-2025     |    Published - 01-04-2025
Volume - 11   Issue - 1    |    Publication Date - April 2025  Table of Contents
MORE INFORMATION
KEYWORDS
Analytical Modeling, Assistive Technology, Computer Access, Optical System, Upper Limb Disability.
ABSTRACT
The people with total upper limb disability can access computer with their toes, artificial limbs, foot-operated mouse, or voice recognition that are either inconvenient or expensive. The study addresses the need for a low cost accessibility tool and one solution to it for the people with the disability. As a new solution to the challenge, a novel and low cost optical system was designed and developed which can have potential use in relatively convenient access to computer keyboard for people with the disability. The prime purpose of this article is to present a computational model, which has been developed for the system, and validation through experimental results. The theoretical data were found to match well with experimental ones that indicate the effectiveness of the design. The test results from the optical system reveal that foot-operated keyboard with high contrast key colors can be displayed at tabletop level for the targeted users, offering a potential option for the people with the disability to access a computer.
Anson, D. (1997). Alternative computer access: A guide to selection. Philadelphia, PA: F.A. Davis.
Arai, K. & Yajima, K. (2011). Robot Arm Utilized Having Meal Support System Based on Computer Input by Human Eyes Only. International Journal of Human Computer Interaction (IJHCI), 2(1).
AzioVision Backlit USB keyboard, Azio Corporation. City of Industry, California. Retrieved January 15, 2025, from http://www.aziocorp.com/
Betke, M., Gips, J., & Fleming, P. (2002). The camera mouse: visual tracking of body features to provide computer access for people with severe disabilities. IEEE Transactions on neuralsystems and Rehabilitation Engineering, 10(1), 1-10, doi: 10.1109/TNSRE.2002.1021581.
Biggar, S., & Yao, W. (2015). Design and Evaluation of a Soft and Wearable Robotic Glove for Hand Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(10):1071-1080. doi: 10.1109/TNSRE.2016.2521544.
Boomer, The foot mouse, Dencept, Retrieved March 5, 2025,https://azatdemoloanprogram.org/item/boomer-the-foot-mouse-usb/
Brostow, W., Lobland, H. E. & Narkis, M. (2011). The concept of materials brittleness and its applications. Polym. Bull. 67, 1697–1707, https://doi.org/10.1007/s00289-011-0573-1.
Chaudhari, R. &Galiyawala, H. J. (2017). A Review on Motor Imagery Signal Classification for BCI, Signal Processing: An International Journal (SPIJ), 11(2).
Chen, C.-L., Chen, H.-C., Cheng, P.-T., Chen, C.-Y., Chen, H.-C., & Chou, S. W. (2006). Enhancement of operational efficiencies for people with high cervical spinal cord injuries using a flexible integrated pointing device apparatus. Archives of Physical Medicine and Rehabilitation, 87(6): 866–873. doi: 10.1016/j.apmr.2006.02.025.
Cummings, D. (1996). Prosthetics in the developing world: A review of the literature. Prosthetics and Orthotics International, 20(1):51-60. doi:10.3109/03093649609164416.
El-Soud, M. A. &Shohieb, S. M. (2010). A Proposed Web Accessibility Framework for the Arab Disabled, International Journal of Human Computer Interaction (IJHCI), 1(3).
EZsee, Large Print, Low Vision Keyboard, Ergoguys LLC. Scottsdale, AZ. Retrieved January 15, 2025, from http://store.ergoguys.com/bike.html
Garcia, F. P.,&Vu, K. L. (2011) Effectiveness of hand- and foot-operated secondary input devices for word-processing tasks before and after training. Computers in Human Behavior,27(1).
Jiang, J., Oguzlu, H., & Jiang, F. (2021). 3D printing of lightweight, super-strong yet flexible all-cellulose structure, Chemical Engineering Journal, 405, https://doi.org/10.1016/j.cej.2020.126668.
Kawasaki, H., Ito, S., Ishigure, Y., Nishimoto, Y., Aoki, T., Mouri, T., Sakaeda, H., & Abe,M.(2007). Development of a Hand Motion Assist Robot for Rehabilitation Therapy by Patient Self-Motion Control.Conf. Proc. IEEE Eng. Med. Biol. Soc., 10th International Conference, pp. 234-240.doi: 10.1109/ICORR.2007.4428432.
Khan, M. A., Islam, M. S., Karim, T. B., & Offiah U. M. (2019). A special need tool to access keyboard for people with upper limb disability. Biomedical Sci. Instrum., Vol. 55(1), January.
Koester, H. H., & Mankowski, J. (2016). Automatic Adjustment of Mouse Settings to Improve Pointing Performance. Assist Technol, 26(3):119-28. doi: 10.1080/10400435.2013.862583.
Luckiesh, M. (1921). Color and Its Applications, 2nd Ed, D. Van Nostrand Company, New York, 1921; p. 137.
Naylor, A. G. (1970). Veiling glare due to multiple reflections between surfaces. Canadian Journal of Physics, 48(22), 2720-2724, doi:10.1139/p70-337.
Ng, K. H., Nazari, V., & Alam, M. (2021). Can Prosthetic Hands Mimic a Healthy Human Hand? Prosthesis, 3(1), 11-23. https://doi.org/10.3390/prosthesis3010003.
Noyes, J., & Frankish, C. (1992). Speech recognition technology for individuals with disabilities. Augmentative and Alternative Communication, 8(4), 297-303, https://doi.org/10.1080/07434619212331276333.
Rello, L., & Yates R. B. (2012). Optimal colors to improve readability for people with dyslexia. Text customization for readability online symposium, 19 Nov.
Scharff, L. F., Hill A. L., & Ahumada, A. J. (2000). Discriminability measures for predicting readability. Opt. Express, 6: 81-91.
Semary, H. E., Al-Karawi, K. A., & Abdelwahab, M. M. (2024). Using voice technologies to support disabled people. Journal of Disability Research, 3(1), doi: 10.57197/JDR-2023-0063.
Sharma, K. K. (2006). Optics: principles and applications. Elsevier. pp 25-39.
World Health Organization, WHO, World Report on Disability, 2011; pp. 183-184.
Wu, J-H, & Yuan Y. (2003). Improving searching and reading performance: the effect of highlighting and text color coding. Information & Management, 40(7): 617–637. https://doi.org/10.1016/S0378-7206(02)00091-5.
Zhang, F., Hua, L., Fu, Y., Chen, H., & Wang, S. (2014). Design and development of a hand exoskeleton for rehabilitation of hand injuries.Mechanism and Machine Theory, 73: 103-116. https://doi.org/10.1016/j.mechmachtheory.2013.10.015.
Dr. M. Ashraf Khan
ECE Department, Saginaw Valley State University, University Center, MI 48710 - United States of America
mkhan126@svsu.edu
Mr. Mohammad Shahidul Islam
International Commission on Illumination, Vienna - Australia
Miss Taskin Binte Karim
Sk Siltron, Auburn, MI 48611 - United States of America
Mr. Mahmoud Manzoul
ECECS Department, Jackson State University, Jackson, MS 39217 - United States of America
Dr. Rajani Muraleedharan
ECE Department, Saginaw Valley State University, University Center, MI 48710 - United States of America


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS