International Journal of Emerging Research in Engineering, Science, and Management
Vol. 3, Issue 4, pp. 33-37, Oct-Dec 2024.
https://doi.org/10.58482/ijeresm.v3i4.5

Design and Implementation of an Autonomous Wheelchair with Medical Kit Access Using Raspberry Pi

Narayana Murty Y

K. Rajasekhar

Gidla Sudheer Babu

S. N. Bhargavi

P.G. Scholar, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India. murthyynr@gmail.com

Professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India. krsece.bvce@bvcgroup.in  

Assistant Professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India. sudheergidla@gmail.com

Assistant Professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India. bhargavi.bvce@bvcgroup.in

Abstract:

This paper presents an autonomous wheelchair system designed to enhance the mobility of elderly individuals and people with disabilities through advanced automation and artificial intelligence. Recognizing the importance of independent movement for promoting physical and psychological well-being, this system addresses the challenges faced by those with limited mobility. The wheelchair leverages various sensors to minimize the need for human intervention, thereby fostering autonomy and reducing reliance on caregivers. The system includes an Android interface connected via Bluetooth, allowing for intuitive user interaction and control. Utilizing Raspberry Pi technology, the research aims to create a reliable framework that can adapt to user needs through data processing and analysis. Additionally, the system enables effective communication through head-mounted support, allowing users to record and relay information. Ultimately, this autonomous wheelchair aims to improve mobility and confidence for individuals with disabilities while enhancing their overall independence and quality of life.

 

Keywords: Artificial Intelligence, Autonomous Wheelchair, Medical Kit, Raspberry Pi.

References:

  1. González-Cely, M. Callejas-Cuervo, and T. Bastos-Filho, “Wheelchair prototype controlled by position, speed and orientation using head movement,” HardwareX, vol. 11, p. e00306, Apr. 2022, doi: 10.1016/j.ohx.2022.e00306.
  2. Arshad, M. A. Ashraf, H. M. Asim, N. Rasool, M. H. Jaffery, and S. I. Bhatti, “Multi-Mode Electric Wheelchair with Health Monitoring and Posture Detection Using Machine Learning Techniques,” Electronics, vol. 12, no. 5, p. 1132, Feb. 2023, doi: 10.3390/electronics12051132.
  3. Ma, W. Li, R. Gravina, and G. Fortino, “Posture detection based on smart cushion for wheelchair users,” Sensors, vol. 17, no. 4, p. 719, Mar. 2017, doi: 10.3390/s17040719.
  4. E. Arias, E. J. Pino, P. Aqueveque, and D. W. Curtis, “Unobtrusive support system for prevention of dangerous health conditions in wheelchair users,” Mobile Information Systems, vol. 2016, pp. 1–14, Jan. 2016, doi: 10.1155/2016/4568241.
  5. D. Fard, S. Moghimi, and R. Lotfi, “Evaluating pressure ulcer Development in Wheelchair-Bound Population using sitting Posture identification,” Engineering, vol. 05, no. 10, pp. 132–136, Jan. 2013, doi: 10.4236/eng.2013.510b027.
  6. Jizhong Liu, Hua Zhang, Bingfei Fan, Guanghui Wang, Jonathan Wu, “A Novel Economical Embedded Multi-mode Intelligent Control System for Powered Wheelchair,” 2010 International Conference on Computing, Control and Industrial Engineering, June 2010, doi: 10.1109/CCIE.2010.47.
  7. Lei Hou, Jawwad Latif, Pouyan Mehryar, Ali Zulfiqur, Stephen Withers, Angelos Plastropoulos, “IoT Based Smart Wheelchair for Elderly Healthcare Monitoring,” 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), June 2021, doi: 10.1109/ICCCS52626.2021.9449273.
  8. D Karuna Kumar, B Mahesh, B Umesh, K Rohanth Reddy, M Shashank, “Smart Wheelchair with Advanced Assistance and Governing System for Disabled,” E3S Web of Conferences 391, 01095, 2023, doi: 10.1051/e3sconf/202339101095.
  9. Hou et al., “An autonomous wheelchair with health monitoring system based on Internet of Thing,” Scientific Reports, vol. 14, no. 1, Mar. 2024, doi: 10.1038/s41598-024-56357-y.
  10. A. Shamseldin et al., “A new design identification and control based on GA optimization for an autonomous wheelchair,” Robotics, vol. 11, no. 5, p. 101, Sep. 2022, doi: 10.3390/robotics11050101.
  11. Avinaash M, Andrew D, Visnu S, Abrar M and Seenu N, “Design and simulation of disaster mitigation robot using machine vision,” Journal of Physics: Conference Series, 2021, doi: 10.1088/1742-6596/2115/1/012009.
  12. Sjoerd de Jong, “Development of an Eye-controllable Self-Driving Wheelchair,” A Master’s thesis, University of Twente, available at: http://essay.utwente.nl/96441/1/deJong_BA_EEMCS.pdf. 
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