Digital Forensics and Internet of Things. Группа авторов

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Digital Forensics and Internet of Things - Группа авторов

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      The future scope of this work is to use this gesture-based wheelchair in old age homes where the implementation will be useful for the people who find difficulty in their movements. This can be improved by many advancements such as, for physically challenged people who are unable to move their hands, they may have a wheelchair developed with a tongue motion driver to drive the wheelchair’s motors. It is also possible to have a speed control feature. For safety measures, we can implement high-power sensor like ultrasonic sensor for object detection. Self-power generation from the rotation of the wheel could be possible in the future, with the device being charged by solar power. Therefore, the stress associated with charging the battery may be alleviated. Artificial Intelligence can also be included to make wheelchair more technically advance.

      2. Kazerooni, H., Fairbanks, D., Chen, A., Shin, G., The Magic Glove, University of California Berkeley, Berkeley, California, 2006.

      3. Zimmerman, T.G. et al., A Hand Gesture Interface Device. II Proc. Human Facttors in Computing System and Graphics Interface, ACM Press, New York, April 1987.

      4. Anoop, K.J., Ezhilan, I., Raj, S., Seenivasan, R., Pandian, C., Designing and modeling of controlled wheel chair incorporated with home automation. Int. J. Adv. Res. Electr. Electron. Instrum. Eng., AnISO 3297:2007 Certified Organization). 3, 2, 2014.

      5. S. Interactive Glove - International Journal of Industrial Electronics and Electrical Engineering,

      6. International Journal of Engineering and Computer Science, 4, 9, pp. 14439–14442, Sep 2015.

      7. World Health Organization, World report on disability, 2011.

      8. Chowdhury, SM Mazharul Hoque, Smart wheelchair for disabled people, Diss. Jahangirnagar University, 2019.

      9. Warad, S., Hiremath, V., Dhandargi, P., Bharath, V., Bhagavati, P.B., Speech and flex sensor-controlled wheelchair for physically disabled people. Proceedings of 10th IRF International Conference, Pune, India, 01st June-2014.

      10. Shayban, N. and Muhammad, A.G.K., Wireless Head Gesture Controlled Wheelchair for Disable Persons presented by Shayban Nasif & Muhammad Abdul Goffar Khan (EEE Department Rajshahi University).

      * Corresponding author: [email protected]

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