AUTOMATED WHEELCHAIR FOR DIFFERENTLY ABLED PERSON WITH FALL DETECTION AND MANEUVERABILITY

Authors

  • Sonam Tshering
  • Deo Raj Biswa
  • Dhendup Tshering
  • Sonam Rinchen
  • Sujata Rai
  • Rinchen Bidha
  • Karma Y lhayang

DOI:

https://doi.org/10.54417/jaetm.v3i1.108

Keywords:

Smart wheelchair, controlled, motorized, command, technology

Abstract

While many people with disabilities can benefit from power wheelchairs, some people with disabilities find it difficult or impossible to use a basic power wheelchair. To serve this group, several researchers have developed "smart wheelchairs" that use technologies originally developed for mobile robots to reduce the physical, perceptual, and cognitive skills needed to operate a motorized wheelchair. Smart Wheelchairs are mechanically controlled devices that can move on their own with the help of a user command. This reduces the user's human effort and force required to push the wheelchair wheels. It also allows visually or physically disabled people to move from one location to another. The wheelchair also has an obstacle detection system, which reduces the likelihood of a collision while traveling.

Author Biographies

Sonam Tshering

Final Year Student 

Department of Electronics and Communication Engineering 

Jigme Namgyel Engineering College, Royal University of Bhutan

Deo Raj Biswa

Lecturer

Head, Center for Appropriate Technology

Department of Electronics and Communication Engineering 

Dhendup Tshering

Final Year Student 

Department of Electronics and Communication Engineering

Jigme Namgyel Engineering College, Royal University of Bhutan

Sonam Rinchen

Final Year Students 

Department of Electronics and Communication Engineering 

Jigme Namgyel Engineering College, Royal University of Bhutan

Sujata Rai

Final Year Student

Department of Electronic and Communication Engineering

Jigme Namgyel Engineering College, Royal University of Bhutan

Rinchen Bidha

Final Year Student

Department of Electronics and Communication Engineering 

Jigme Namgyel Engineering College, Royal University of Bhutan

Karma Y lhayang

Final Year Student

Department of Electronics and Communication Engineering 

Jigme Namgyel Engineering College, Royal University of Bhutan

References

R. Simpson, E. LoPresti, S. Hayashi, I. Nourbakhsh, and D. Miller, "The smart wheelchair component system," Journal of Rehabilitation Research and Development, vol. 41, no. 3B, pp. 429-442, 2004.

National Statistics Bureau. (2017). Population and Housing Census of Bhutan (PHCB) 2017 [PDF]. Retrieved from https://www.nsb.gov.bt/wp-content/uploads/dlm_uploads/2021/10/PHCB-Metadata.pdf.

Global Road Safety Facility. (2023). “Bhutan Country Profile.” Retrieved from https://www.roadsafetyfacility.org/country/bhutan.

M. A. Al Rakib, S. Uddin, M. M. Rahman, S. Chakraborty, and F. I. Abbas, "Smart wheelchair with voice control for physically challenged people," European Journal of Engineering and Technology Research, vol. 6, no. 7, pp. 97-102, 2021.

M. Asgar, M. Badra, K. Irshad, and S. Aftab, "Automated innovative wheelchair," International Journal of Information Technology Convergence and Services, vol. 3, no. 6, pp. 1, 2013.

B. Champaty et al., "Development of Bluetooth, Xbee, and Wi-Fi-Based Wireless Control Systems for Controlling Electric-Powered Robotic Vehicle Wheelchair Prototype," in Robotic Systems: Concepts, Methodologies, Tools, and Applications, IGI Global, 2020, pp. 1048-1079.

T. Debnath, A. Z. Abadin, and M. A. Hossain, "Android controlled smart wheelchair for disabilities," Global Journal of Computer Science and Technology, 2018.

B. E. Dicianno, R. A. Cooper, and J. Coltellaro, "Joystick control for powered mobility: Current state of technology and future directions," Physical Medicine and Rehabilitation Clinics, vol. 21, no. 1, pp. 79-86, 2010.

D. Kumar, R. Malhotra, and S. R. Sharma, "Design and construction of a smart wheelchair," Procedia Computer Science, vol. 172, pp. 302-307, 2020.

A. Ghorbel, N. B. Amor, and M. Jallouli, "A survey on different human-machine interactions used for controlling an electric wheelchair," Procedia Computer Science, vol. 159, pp. 398-407, 2019.

K. Z. Haigh and H. Yanco, "Automation as Caregiver: A survey of issues and technologies," AAAI 02 Workshop on "Automation as Caregiver," pp. 39-53, 2002.

L. A. Rice et al., "Insights on an automated fall detection device designed for older adult wheelchair and scooter users: a qualitative study," Disability and health journal, vol. 15, no. 1, pp. 101207, 2022.

World Health Organization, "WHO global report on falls prevention in older age," World Health Organization, 2008.

W. Machangpa and T. S. Chingtham, "Head gesture-controlled wheelchair for quadriplegic patients," Procedia Computer Science, vol. 132, pp. 342-351, 2018.

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Published

05/30/2023

How to Cite

Tshering, S. ., Biswa, D. R., Tshering, D. ., Rinchen, S. ., Rai, S. ., Bidha, R. ., & lhayang, K. Y. . (2023). AUTOMATED WHEELCHAIR FOR DIFFERENTLY ABLED PERSON WITH FALL DETECTION AND MANEUVERABILITY . Journal of Applied Engineering, Technology and Management, 3(1), 39–47. https://doi.org/10.54417/jaetm.v3i1.108