A Real-Time Sensor Based Hand Gesture Controlled Robotic Wheelchair for Assisting People with Disabilities
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Abstract
Currently, thousands of people are suffering from paralysis. They have difficulties with speaking and walking. So we’ve developed a new kind of robot that can help those people who can’t walk or speak. By utilizing this robot (hand gloves or wheelchair handle) and gesture-based regulators, people with physical disabilities will improve their quality of life. The robot of the proposal has two components, one is the controller of the motion, and the other is the Robotic Wheelchair (RW). Where one can easily interact with the robotic-base wheelchair-using sensor-based hand gesture. With this human-robot interaction, a patient can quite easily control the robot and can move freely. In addition, the required patients may use gestures (hand gloves or wheelchair handle) to express their needs. Furthermore, we will reduce the effort to regulate the RW and hand movements with this device, that’s really difficult for disabled or dumb people. Our device can run with approximately 94% accuracy and very minimal delay
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References
B. Sabuj, M. J. Islam, and M. A. Rahaman, “Human robot interaction using sensor based hand gestures for assisting disable people,” in 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2019, pp. 1–5.
M. Mahmood, M. F. Rizwan, M. Sultana, M. Habib, and M. H. Imam, “Design of a low-cost hand gesture controlled automated wheelchair,” in 2020 IEEE Region 10 Symposium (TENSYMP). IEEE, 2020, pp.
–1382.
H. F. Jameel, S. L. Mohammed, and S. K. Gharghan, “Wheelchair control system based on gyroscope of wearable tool for the disabled,” in IOP Conference Series: Materials Science and Engineering, vol. 745, no. 1. IOP Publishing, 2020, p. 012091.
L. Wagner. ((Accessed February, 2020)) Inclusive city maker. [Online]. Available: https://www.inclusivecitymaker.com/ disabled-people- in-the- world-in- 2019-facts- and-figures/
N. Khan. ((Accessed February, 2020)) Cdd. [Online]. Available: https://cdd.org.bd/
J. Smith. (Accessed August 01, 2019). [Online]. Available: https: //www.who.int/topics/disabilities/en/
P. Upender and P. H. Vardhini, “A hand gesture based wheelchair for physically handicapped person with emergency alert system,” in 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). IEEE, 2020, pp. 232–236.
M. F. Razy, S. S. Anis, M. T. Touhid, and J. Uddin, “An automated wheelchair for physically challenged people using hand gesture and mo- bile app,” in International Conference on Intelligent Human Computer Interaction. Springer, 2020, pp. 135–144.
M. R. Islam, M. S. Islam, and M. S. Sadi, “Towards developing a real-time hand gesture controlled wheelchair,” in Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Springer, 2021, pp. 355–366.
H. Sharma and N. Mathur, “Smart wheelchair remotely controlled by hand gestures,” in Research in Intelligent and Computing in Engineering.
Springer, 2021, pp. 757–767.
M. P. Hossain, M. Atikuzzaman, M. M. Rahim, M. T. Hossain, M. S.
Mousome, and M. A. Rahaman, “Human robot interaction system for behavioral improvement of autistic children,” in 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT). IEEE, 2020, pp. 117–122.
S. Nasif and M. A. G. Khan, “Wireless head gesture controlled wheel chair for disable persons,” in 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2017, pp. 156–161.
R. J. Leela, A. Joshi, B. Agasthiya, U. Aarthiee, E. Jameela, and S. Varshitha, “Android based automated wheelchair control,” in 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM). IEEE, 2017, pp. 349–353.
C. Russo, K. Madani, and A. M. Rinaldi, “Knowledge acquisition and design using semantics and perception: A case study for autonomous robots,” Neural Processing Letters, pp. 1–16, 2020.
M. A. Eid, N. Giakoumidis, and A. El Saddik, “A novel eye-gaze- controlled wheelchair system for navigating unknown environments: case study with a person with als,” IEEE Access, vol. 4, pp. 558–573, 2016.
M. Kutbi, X. Du, Y. Chang, B. Sun, N. Agadakos, H. Li, G. Hua, and P. Mordohai, “Usability studies of an egocentric vision-based robotic wheelchair,” ACM Transactions on Human-Robot Interaction (THRI), vol. 10, no. 1, pp. 1–23, 2020.
K. Mitsugi, K. Matsuo, and L. Barolli, “A comparison study of con- trol devices for an omnidirectional wheelchair,” in Workshops of the International Conference on Advanced Information Networking and Applications. Springer, 2020, pp. 651–661.
A. Kaur, “Wheelchair control for disabled patients using emg/eog based human machine interface: a review,” Journal of Medical Engineering & Technology, pp. 1–22, 2020.
L. Wu, R. Alqasemi, and R. Dubey, “Development of smartphone-based human-robot interfaces for individuals with disabilities,” IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5835–5841, 2020.
M. Alam and M. A. Yousuf, “Designing and implementation of a wire- less gesture controlled robot for disabled and elderly people,” in 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2019, pp. 1–6.
J. W. Machangpa and T. S. Chingtham, “Head gesture controlled wheelchair for quadriplegic patients,” Procedia computer science, vol.
, pp. 342–351, 2018.
P. Dey, M. M. Hasan, S. Mostofa, and A. I. Rana, “Smart wheelchair integrating head gesture navigation,” in 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). IEEE, 2019, pp. 329–334.
H. F. Jameel, S. L. Mohammed, and S. K. Gharghan, “Wheelchair control system based on gyroscope of wearable tool for the disabled,” 2019.
J. Gray, P. Jia, H. H. Hu, T. Lu, and K. Yuan, “Head gesture recognition for hands-free control of an intelligent wheelchair,” Industrial Robot: An International Journal, 2007.
A. Rajarajan and S. Murugesan, “Gesture controlled robot using ar- duino.” Bulletin of Pure & Applied Sciences-Geology, no. 1, 2018.
