Developing a real-time hand-gesture recognition technique for wheelchair control.

At present, significant number of people in the world are having motor disabilities. They need to use wheelchair for performing regular movements and activities. However, there are a lot of issues and challenges in using the conventional wheelchairs. Safe navigation, independent mobility and low cos...

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Main Authors: Md Rafiul Huda, Md Liakot Ali, Muhammad Sheikh Sadi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0319996
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author Md Rafiul Huda
Md Liakot Ali
Muhammad Sheikh Sadi
author_facet Md Rafiul Huda
Md Liakot Ali
Muhammad Sheikh Sadi
author_sort Md Rafiul Huda
collection DOAJ
description At present, significant number of people in the world are having motor disabilities. They need to use wheelchair for performing regular movements and activities. However, there are a lot of issues and challenges in using the conventional wheelchairs. Safe navigation, independent mobility and low cost are the key issues for wheelchair users. This paper presents a new mathematical model for an efficient and real-time hand gesture recognition technique for a smart wheelchair control system, in line with contemporary technologies. The model is developed using the positions of the significant hand landmarks, distances among them and some critical thresholds which are determined by good number of samples of hands. The proposed method offers more users' flexibility through less hand movement in operation of the wheelchair. The model is tested for hands of different sizes, irrespective of any background in indoor or outdoor under sunlight. The experimental study demonstrates that it outperforms the existing methods in terms of success rate with good performance metrics.
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publishDate 2025-01-01
publisher Public Library of Science (PLoS)
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spelling doaj-art-b3b84db76e7e4e7f93b25545fc940da12025-08-20T02:20:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01204e031999610.1371/journal.pone.0319996Developing a real-time hand-gesture recognition technique for wheelchair control.Md Rafiul HudaMd Liakot AliMuhammad Sheikh SadiAt present, significant number of people in the world are having motor disabilities. They need to use wheelchair for performing regular movements and activities. However, there are a lot of issues and challenges in using the conventional wheelchairs. Safe navigation, independent mobility and low cost are the key issues for wheelchair users. This paper presents a new mathematical model for an efficient and real-time hand gesture recognition technique for a smart wheelchair control system, in line with contemporary technologies. The model is developed using the positions of the significant hand landmarks, distances among them and some critical thresholds which are determined by good number of samples of hands. The proposed method offers more users' flexibility through less hand movement in operation of the wheelchair. The model is tested for hands of different sizes, irrespective of any background in indoor or outdoor under sunlight. The experimental study demonstrates that it outperforms the existing methods in terms of success rate with good performance metrics.https://doi.org/10.1371/journal.pone.0319996
spellingShingle Md Rafiul Huda
Md Liakot Ali
Muhammad Sheikh Sadi
Developing a real-time hand-gesture recognition technique for wheelchair control.
PLoS ONE
title Developing a real-time hand-gesture recognition technique for wheelchair control.
title_full Developing a real-time hand-gesture recognition technique for wheelchair control.
title_fullStr Developing a real-time hand-gesture recognition technique for wheelchair control.
title_full_unstemmed Developing a real-time hand-gesture recognition technique for wheelchair control.
title_short Developing a real-time hand-gesture recognition technique for wheelchair control.
title_sort developing a real time hand gesture recognition technique for wheelchair control
url https://doi.org/10.1371/journal.pone.0319996
work_keys_str_mv AT mdrafiulhuda developingarealtimehandgesturerecognitiontechniqueforwheelchaircontrol
AT mdliakotali developingarealtimehandgesturerecognitiontechniqueforwheelchaircontrol
AT muhammadsheikhsadi developingarealtimehandgesturerecognitiontechniqueforwheelchaircontrol