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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Android/IOS Based Electric Wheelchair

Shalizan Kadir, Benny Azmi Mohd Zamlan, Syahlan Abd Halim, Haidie Inun, Caroline Dame Siagian

http://dx.doi.org/10.6007/IJARBSS/v11-i6/10117

Open access

This project proposes control of Electric Wheelchairs by using smartphones to help the movement of the disabled and the elderly become easier. Although the use of manual wheelchairs can meet the needs of some individuals there are also some who have problems using these manual wheelchairs due to some factor such as permanent disability in the hands and in the case of senior citizens, the lack of energy to move the wheelchair manually. As we all know, mobile phones are a necessity nowadays, with almost everyone having them. By combining smartphone and Bluetooth technology, this manual wheelchair can be converted to Electric wheelchair that can be controlled wirelessly using a smartphone and therefore solve the problem mentioned above since it is easy to move the wheelchair around without requiring too much energy. This project uses an Arduino as the main controller to control the DC motor that is attached to the wheelchair. Several versions of smartphone apps have been developed to make sure it’s achieved its objective. In conclusion, this project will be able to help those in need to move more easily and independently.

Bhardwaj, R., Gupta, P., Jadhav, P., Kadam, B., & Kedari, A. (2016). Android-based automated smart wheelchair. International Journal of Innovative Research in Computer and Communication Engineering, 4(3), 3040-3047.
Jamuna, R., Kumar, K.B. & Karthikeyan, P. (2015). Wheelchair control using voice recognition.International Journal of Advanced Research in Biology, Ecology,Science and Technology,1(1), 13-16.
Leandre Nsengumuremyi, Aman Jung Karki, Manjunath CR. (2018) “Smart Wheelchair using Medical IOT” International Journal for Research in Applied Science & Engineering Technology (IJRASET) ,6,387-393
Lodhi, D. K., Vats, P., Varun, A., Solanki, P., Gupta, R., Pandey, M. K., & Butola, R. (2016). Smart electronic wheelchair using arduino and bluetooth module. International Journal of Computer Science and Mobile Computing, 5(5), 433-438
Rakhi, A. K., & Chitre, D. K. (2013). Automatic wheelchair using gesture recognition, International Journal of Engineering and Innovative Technology (IJEIT), 2(9), 216-218.
Vishal, V. P., Nikita, S. U., Darshana, P. M., Nikita, R. I., & Pragati, P. M. (2014). Hand Gesture Based Wheelchair Movement Control for Disabled Person Using MEMS. Journal of Engineering Research and Applications, 4(4), 152-158.

In-Text Citation: (Kadir et al., 2021)
To Cite this Article: Kadir, S., Zamlan, B. A. M., Halim, S. A., Inun, H., & Siagian, C. D. (2021). Android/IOS Based Electric Wheelchair. International Journal of Academic Research in Business and Social Sciences, 11(6), 268–275.