Automatic Wheelchairs Based on Artificial Intelligence for Disable People

Authors

  • Asep Sholahuddin Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia
  • Anton Satria Prabuwono Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah 22254, Saudi Arabia
  • Ino Suryana Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia
  • Akik Hidayat Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia

DOI:

https://doi.org/10.37934/ard.139.1.144157

Keywords:

Disable people, artificial intelligence, wheelchair, YOLOv8

Abstract

Disabled people have difficulty in carrying out activities. For example, someone who can only work with his head and cannot move or track his hands and feet carries out all activities using his head. Robot technology has developed rapidly and can be applied to wheelchairs to help people with this kind of disability. Research on wheelchairs that can move using the head showed the problem that lengthy activities may cause the head to hurt. Therefore, wheelchairs that can track automatically from one room to another are needed. This research focuses on a wheelchair that could move automatically through the rooms in a large house automatically by recognizing room symbols that had been given and trained. The wheelchair was equipped with an Artificial Intelligence base and programmed using YOLOv8. The program could recognize 10 room symbols. The symbol recognition accuracy result was 100% for confidence 0.996.

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Author Biographies

Asep Sholahuddin, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia

asep.sholahuddin@unpad.ac.id

Anton Satria Prabuwono, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah 22254, Saudi Arabia

aprabuwono@kau.edu.sa

Ino Suryana, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia

ino.suryana@unpad.ac.id

Akik Hidayat, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, Jawa Barat 45363, Indonesia

akik@unpad.ac.id

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Published

2025-07-25

How to Cite

Sholahuddin, A., Prabuwono, A. S., Suryana, I., & Hidayat, A. (2025). Automatic Wheelchairs Based on Artificial Intelligence for Disable People. Journal of Advanced Research Design, 139(1), 144–157. https://doi.org/10.37934/ard.139.1.144157
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