A Monitoring System for EPW Safe Use


  • M. H. Alsibai Faculty of Engineering Technology, University Malaysia Pahang, Gambang - Kuantan, Malaysia.
  • N. N. N. Hamran Faculty of Engineering Technology, University Malaysia Pahang, Gambang - Kuantan, Malaysia.
  • Abdul Nasir Faculty of Engineering Technology, University Malaysia Pahang, Gambang - Kuantan, Malaysia.
  • A. A. Abdullah Automotive Engineering Centre, University Malaysia Pahang, Pekan, Malaysia.


Driver Safety, Embedded System, EV, Health Care, IoT, Smart Wheelchair,


Electric Powered Wheelchair (EPW) can be considered as a special Electric Vehicle (EV) because it is used by senior citizens, disabled drivers/users who have special needs. Using manual or electric wheelchair independently can lead to the lack of user monitoring. Wheelchair users are also subjected to fatigue and emergency health situations. This paper presents an add-on smart monitoring system to help wheelchair users to use the wheelchair independently and safely. The system integrates health related sensors with computer, mobile phone and an alarm system. The tested prototype uses two sensors, namely, temperature sensor and heart beat sensor. The system is extendable and more sensors can be added. The temperature sensor is used to sense the body temperature, which is a basic parameter for monitoring and diagnosing human health. Heartbeat sensor is used to measure the user Mean Arterial Pressure (MAP). It can be connected to a personal computer to show the cardiograph. Body temperature and MAP data are acquired by an embedded system and displayed on a Liquid Crystal Display (LCD). Data are also sent to the cloud for Internet of Things (IoT) monitoring. In emergency cases, alarm signal is triggered. Moreover, a notification Email and SMS messages are sent to the people in charge of monitoring the user. The system was tested and validated as a real-time monitoring system.


World Health Organization (WHO), World report on disability. WHO Library Cataloguing-in-Publication Data, 2011, 325 pages. Available on line (Last visit 8, 2017): http://www.who.int/disabilities/world_report/2011/

UNICEF, State of the World's Children, Situation in Malaysia, Children with Disabilities. 2013. Available on line (Last visit 8, 2017) https://www.unicef.org/malaysia/sowc_sowc_13- situation_in_malaysia.html

World Health Organization (WHO), Fact sheet on wheelchairs, 2010, Available on line (Last visit 8, 2017): http://apps.who.int/iris/handle/10665/205041

M. H. Alsibai and S. Abdul Manap, “A Study on Smart Wheelchair Systems”, International Journal of Engineering Technology and sciences (ijets) vol. 4 (1), 2015, pp. 25 – 35.

M. M. Baig, H. Gholamhosseini, M. Linden and M. J. Connolly, “Review of Vital Signs Monitoring Systems – Patient’s Acceptability, Issues and Challenges”, Neuroscience and Biomedical Engineering, Vol 2 (1), 2014, pp. 2 - 13.

M. H. Alsibai and H. M. Siang, “A smart driver monitoring system using android application and embedded system” In: 5th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2015), 2015, pp. 242–247.

M. H. Alsibai, H. Manap and A. A. Abdullah, “Enhanced face recognition method performance on android vs windows platform”, ARPN Journal of Engineering and Applied Sciences, Vol 10 (23), 2015, pp. 17479 - 17485.

M. Navale, S. Damare, R. Chavan, R. Dube, and S. Patil, “Android Based Heart Monitoring and Reporting System”, International Journal of Advanced Research in Computer and Communication Engineering, Vol 3(5), 2014, pp. 6544 - 6546.

A. R. Yeole, S. M. Bramhankar, M. D. Wan and M. P. Mahajan, “Smart Phone Controlled Robot Using ATMEGA328 Microcontroller”, International Journal of Innovative Research in Computer and Communication Engineering, Vol 3 (1), 2015, pp. 352 – 356.

M. Puthanial, S. Rajeshwari, P. C. K. Raja and P. Shankar, “Android and Bluetooth Technology Enabled Remote Control Using Smart Phone”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol 3 (5) 2014, pp. 9373 – 9380.

N. Indumathy and D. K. K. Patil., “Medical Alert System for Remote Health Monitoring Using Sensors and Cloud Computing, “International Journal of Research in Engineering and Technology”, Vol 3(4), 2014, pp. 884-888.

Magnet Code: smartphone controller online (last visit 8, 2017): http://www.magnetcode.com/magnetcode/




How to Cite

Alsibai, M. H., Hamran, N. N. N., Nasir, A., & Abdullah, A. A. (2018). A Monitoring System for EPW Safe Use. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-2), 131–135. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3340