An Intelligent Autonomous Wheelchair for Hospital

  • Conference paper
  • First Online:
4th International Conference for Innovation in Biomedical Engineering and Life Sciences (ICIBEL 2022)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 107))

  • 48 Accesses

Abstract

The issues of healthcare worker shortages and constant rise of patients leading to drastic increment in workloads within the hospital has become a known topic recently. At the same time, the population of disabled people is seen to be increasing, resulting in higher demands for wheelchairs. However, most hospitals are still using conventional manually controlled wheelchair for their patients. As a result, the disabled patients would have to wait for a long time for hospital staffs to help move them to their desired destination. Therefore, the idea of a handy autonomous wheelchair for hospitals had been proposed and developed. The features include: (1) Wheelchair line following navigation using colour sensors. (2) Obstacle detection and avoidance using ultrasonic sensors and stereo camera. (3) Emergency signal transmissions using Wi-Fi and Message Queuing Telemetry Transport (MQTT). (4) Voice command using microphone to receive the command and execute the respective operation. The auto- mated wheelchair system developed was also designed so that the data extracted on the wheelchair can be monitored remotely at the base station using the concept of Internet-of-Things (IoT).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arnold, R.M.: Projecting shortages and surpluses of doctors and nurses in the OECD: what looms ahead. Health Econ., Policy Law 14, 1–17 (2018)

    Google Scholar 

  2. Anusha, B.K., Andela, S.R., Pratima, A.: Line following and obstacle avoiding robot. Int. J. Innov. Res. Sci. Eng. 8(5), 80–93 (2022)

    Google Scholar 

  3. Dewantoro, G., Mansuri, J.: Comparative study of computer vision based line followers using Raspberry Pi and Jetson Nano. Jurnal Rekayasa Elektrika, 1–8 (2021)

    Google Scholar 

  4. Abhijeet, R., Ankit, A.R., Arpit, R., Hoshino, Y.: Autonomous and safe navigation of mobile robots in vineyard with smooth collision avoidance. Agriculture 11(10), 954–970 (2021)

    Article  Google Scholar 

  5. Elkodama, A., Saleem, D., Ayoub, S., Potrous, C., Sabri, M., Badran, M.: Design, manufacture, and test a ROS operated smart obstacle avoidance wheelchair. Int. J. Mech. Eng. Robot. Res. 9(7), 931–936 (2020)

    Article  Google Scholar 

  6. Hutabarat, D., Rivai, M., Purwanto, D., Hutomo, H.: Lidar-based obstacle avoidance for the autonomous mobile robot. In: 12th International Conference on Information & Communication Technology and System (lCTS), pp. 197–202 (2019)

    Google Scholar 

  7. Inoue, K., Kaizu, Y., Igarashi, S., Imou, K.: The development of autonomous navigation and obstacle avoidance for a robotic mower using machine vision technique. IFAC-PapersOnLine 52(30), 173–177 (2019)

    Article  Google Scholar 

  8. Tuan, D.L., Vignesh, R.P., Gjevestad, J.G.O., From, P.J.: A low-cost and efficient autonomous row-following robot for food production in polytunnels. J. Field Robot. 37(2), 309–321 (2018)

    Google Scholar 

  9. Al Rakib, M., Uddin, S., Rahman, M., Chakraborty, S., Abbas, F.: Smart wheelchair with voice control for physically challenged people. Eur. J. Eng. Technol. Res. 6(7), 97–102 (2021)

    Article  Google Scholar 

  10. Hou, T.K., Yagasena, Chelladurai: Arduino based voice-controlled wheelchair. J. Phys.: Conf. Ser. 1432(1), 012064 (2020)

    Google Scholar 

  11. Aktar, N., Jaharr, I.: Voice recognition based intelligent wheelchair and GPS tracking system. 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1–5 (2019)

    Google Scholar 

  12. Nishimori, M., Saitoh, T., Konishi, R.: Voice controlled intelligent wheelchair. In: Annual Conference 2007, pp. 336–340 (2007)

    Google Scholar 

  13. Cui, J., Cui, L.: IoT wheelchair control system based on multi-mode sensing and human-machine interaction. Micromachines, 1–15 (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vickneswari Durairajah .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chua, M.K., Chun, B.J., Lee, K.S., Wong, Y.C., Durairajah, V., Gobee, S. (2024). An Intelligent Autonomous Wheelchair for Hospital. In: Ibrahim, F., Usman, J., Ahmad, M.Y., Hamzah, N. (eds) 4th International Conference for Innovation in Biomedical Engineering and Life Sciences. ICIBEL 2022. IFMBE Proceedings, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-031-56438-3_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56438-3_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56437-6

  • Online ISBN: 978-3-031-56438-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation