Design and implementation of monitoring system for paralysis patient using IoT


  • Hira Beenish Karachi Institute of Economics & Technology
  • Fakeha Nasar Karachi Institute of Economics & Technology
  • Ehsan Sheikh Karachi Institute of Economics & Technology
  • Muhammad Fahad Karachi Institute of Economics & Technology



Internet of things, healthcare monitoring, wearable devices, gyro sensors, flex sensors


Internet of things represents a catch line of smart applications. At the same time it plays a leading role in the health care systems, as it provides the connectivity of the distant patients, who are not able to express their concerns.  In this modern era there are a lot of technologies that are being used in different healthcare fields for paralyzed people. This paper proposed a model for paralyzed patient by considering Arduino with the integration of gyro sensors for the patient hand and finger movement. Patient can easily be connected with this device by sending his message to caretaker only by moving their hands into respective directions, or they can send their message by moving their fingers and feet. Through this device paralyzed patient will be able to convey their messages to caretakers, so they can assist the patient. This system will enhance the medical care to those patients who are even not able to convey their message. 


Savaridass, m. p., ikram, n., deepika, r., & aarnika, r. (2020). development of smart health monitoring system using internet of things. materials today: proceedings.

Yeri, v., & shubhangi, d. c. (2020, july). iot based real time health monitoring. in 2020 second international conference on inventive research in computing applications (icirca) (pp. 980-984). ieee.

Islam, m. m., rahaman, a., & islam, m. r. (2020). development of smart healthcare monitoring system in iot environment. sn computer science, 1(3).

Hamim, m., paul, s., hoque, s. i., rahman, m. n., & baqee, i. a. (2019, january). iot based remote health monitoring system for patients and elderly people. in 2019 international conference on robotics, electrical and signal processing techniques (icrest) (pp. 533-538). ieee.

Malik, h., & mazhar, a. (2020). eyecom: an iot based affordable wearable solution for paralyzed people to interact with machines. journal of ambient intelligence and humanized computing, 11(6), 2325-2336.

Pramanik, p. k. d., upadhyaya, b. k., pal, s., & pal, t. (2019). internet of things, smart sensors, and pervasive systems: enabling connected and pervasive healthcare. in healthcare data analytics and management (pp. 1-58). academic press.

Jacob, s., alagirisamy, m., menon, v. g., kumar, m., jhanjhi, n. z., ponnusamy, v., ... & balasubramanian, v. (2020). an adaptive and flexible brain energized full body exoskeleton with iot edge for assisting the paralyzed patients. ieee access.

Fati, s. m., muneer, a., mungur, d., & badawi, a. (2018, july). integrated health monitoring system using gsm and iot. in 2018 international conference on smart computing and electronic enterprise (icscee) (pp. 1-7). ieee.

Malik, H., & Mazhar, A. (2019). Eye Com-An Innovative Approach for Computer Interaction. Procedia Computer Science, 151, 559-566.

Hamim, M., Paul, S., Hoque, S. I., Rahman, M. N., & Baqee, I. A. (2019, January). IoT based remote health monitoring system for patients and elderly people. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 533-538). IEEE.

Utane, A. S., Thorat, M., Kale, S., Sangekar, D., & Kondhekar, S. (2019).

Kumara, K. R., Kadam, A., Rane, N., Vernekar, S., & Gouda, A. Sensor Based Wearable System to Assist Paralytic Patient with Continuous Health Monitoring.

Fati, S. M., Muneer, A., Mungur, D., & Badawi, A. (2018, July). Integrated Health Monitoring System using GSM and IoT. In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 1-7). IEEE.

Al-Okby, M. F. R., Neubert, S., Stoll, N., & Thurow, K. (2019, September). Low-Cost, Flexible, and Reliable Hybrid Wheelchair Controller for Patients with Tetraplegia. In 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS) (pp. 177-183). IEEE.

Bose, D., Bibu, R. K., & Shovon, T. M. (2017). Home automation with eye-blink for paralyzed patients (Doctoral dissertation, BRAC University).

Bhaskaran, K. A., Nair, A. G., Ram, K. D., Ananthanarayanan, K., & Vardhan, H. N. (2016, December). Smart gloves for hand gesture recognition: Sign language to speech conversion system. In 2016 International Conference on Robotics and Automation for Humanitarian Applications (RAHA) (pp. 1-6). IEEE.

Anjum, S., & Rajput, R. P. (2020, July). Wearable Physiorobo with Home Automation for Patients Rehabilitation and Assistance. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 614-619). IEEE.

Mathew, S., Sreeshma, A., Jaison, T. A., Pradeep, V., & Jabarani, S. S. (2019, July). Eye Movement Based Cursor Control and Home Automation for Disabled People. In 2019 International Conference on Communication and Electronics Systems (ICCES) (pp. 1422-1426). IEEE.

Verdadero, M. S., & Cruz, J. C. D. An Assistive Hand Glove for Hearing and Speech Impaired Persons. In 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-6). IEEE.

Kumara, K. R., Kadam, A., Rane, N., Vernekar, S., & Gouda.

Machangpa, J. W., & Chingtham, T. S. (2018). Head Gesture Controlled Wheelchair for Quadriplegic Patients. Procedia computer science, 132, 342-351.

Raiyan, Z., Nawaz, M. S., Adnan, A. A., & Imam, M. H. (2017, December). Design of an Arduino based voice-controlled automated wheelchair. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 267-270). IEEE.

Patil, J., Nandur, D., Mellikeri, M., Naik, K., & Kulkarni, P. (2016, March). Integrated sensor system for gait analysis. In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (pp. 2298-2301). IEEE.

Ullah, S., Mumtaz, Z., Liu, S., Abubaqr, M., Mahboob, A., & Madni, H. A. (2019). Single-equipment with multiple-application for an automated robot-car control system. Sensors, 19(3), 662.

Nowshin, N., Rashid, M. M., Akhtar, T., & Akhtar, N. (2018, November). Infrared Sensor Controlled Wheelchair for Physically Disabled People. In Proceedings of the Future Technologies Conference (pp. 847-855). Springer, Cham.

Balaji, K. S., Manjunath, H., Vishal, S., & Dwarakanath, S. K. Intelligent Health Monitoring System.