Cargando…
Finger-Gesture Controlled Wheelchair with Enabling IoT
Modern wheelchairs, with advanced and robotic technologies, could not reach the life of millions of disabled people due to their high costs, technical limitations, and safety issues. This paper proposes a gesture-controlled smart wheelchair system with an IoT-enabled fall detection mechanism to over...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693444/ https://www.ncbi.nlm.nih.gov/pubmed/36433326 http://dx.doi.org/10.3390/s22228716 |
_version_ | 1784837543538196480 |
---|---|
author | Sadi, Muhammad Sheikh Alotaibi, Mohammed Islam, Md. Repon Islam, Md. Saiful Alhmiedat, Tareq Bassfar, Zaid |
author_facet | Sadi, Muhammad Sheikh Alotaibi, Mohammed Islam, Md. Repon Islam, Md. Saiful Alhmiedat, Tareq Bassfar, Zaid |
author_sort | Sadi, Muhammad Sheikh |
collection | PubMed |
description | Modern wheelchairs, with advanced and robotic technologies, could not reach the life of millions of disabled people due to their high costs, technical limitations, and safety issues. This paper proposes a gesture-controlled smart wheelchair system with an IoT-enabled fall detection mechanism to overcome these problems. It can recognize gestures using Convolutional Neural Network (CNN) model along with computer vision algorithms and can control the wheelchair automatically by utilizing these gestures. It maintains the safety of the users by performing fall detection with IoT-based emergency messaging systems. The development cost of the overall system is cheap and is lesser than USD 300. Hence, it is expected that the proposed smart wheelchair should be affordable, safe, and helpful to physically disordered people in their independent mobility. |
format | Online Article Text |
id | pubmed-9693444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96934442022-11-26 Finger-Gesture Controlled Wheelchair with Enabling IoT Sadi, Muhammad Sheikh Alotaibi, Mohammed Islam, Md. Repon Islam, Md. Saiful Alhmiedat, Tareq Bassfar, Zaid Sensors (Basel) Article Modern wheelchairs, with advanced and robotic technologies, could not reach the life of millions of disabled people due to their high costs, technical limitations, and safety issues. This paper proposes a gesture-controlled smart wheelchair system with an IoT-enabled fall detection mechanism to overcome these problems. It can recognize gestures using Convolutional Neural Network (CNN) model along with computer vision algorithms and can control the wheelchair automatically by utilizing these gestures. It maintains the safety of the users by performing fall detection with IoT-based emergency messaging systems. The development cost of the overall system is cheap and is lesser than USD 300. Hence, it is expected that the proposed smart wheelchair should be affordable, safe, and helpful to physically disordered people in their independent mobility. MDPI 2022-11-11 /pmc/articles/PMC9693444/ /pubmed/36433326 http://dx.doi.org/10.3390/s22228716 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sadi, Muhammad Sheikh Alotaibi, Mohammed Islam, Md. Repon Islam, Md. Saiful Alhmiedat, Tareq Bassfar, Zaid Finger-Gesture Controlled Wheelchair with Enabling IoT |
title | Finger-Gesture Controlled Wheelchair with Enabling IoT |
title_full | Finger-Gesture Controlled Wheelchair with Enabling IoT |
title_fullStr | Finger-Gesture Controlled Wheelchair with Enabling IoT |
title_full_unstemmed | Finger-Gesture Controlled Wheelchair with Enabling IoT |
title_short | Finger-Gesture Controlled Wheelchair with Enabling IoT |
title_sort | finger-gesture controlled wheelchair with enabling iot |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693444/ https://www.ncbi.nlm.nih.gov/pubmed/36433326 http://dx.doi.org/10.3390/s22228716 |
work_keys_str_mv | AT sadimuhammadsheikh fingergesturecontrolledwheelchairwithenablingiot AT alotaibimohammed fingergesturecontrolledwheelchairwithenablingiot AT islammdrepon fingergesturecontrolledwheelchairwithenablingiot AT islammdsaiful fingergesturecontrolledwheelchairwithenablingiot AT alhmiedattareq fingergesturecontrolledwheelchairwithenablingiot AT bassfarzaid fingergesturecontrolledwheelchairwithenablingiot |