A low-cost assistive wheelchair for handicapped & elderly people

In this paper, a mixed control wheelchair (MCW) is presented to overcome problem related to movement and user command for elderly and paralyzed people. The MCW comprises of five individual control blocks, which are fed at the main control unit to provide appropriate control actions. The main feature...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sudipta Chatterjee, Sahadev Roy
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/41d4518f94794a328936d7220fe49f71
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:41d4518f94794a328936d7220fe49f71
record_format dspace
spelling oai:doaj.org-article:41d4518f94794a328936d7220fe49f712021-11-22T04:22:38ZA low-cost assistive wheelchair for handicapped & elderly people2090-447910.1016/j.asej.2021.04.021https://doaj.org/article/41d4518f94794a328936d7220fe49f712021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921002082https://doaj.org/toc/2090-4479In this paper, a mixed control wheelchair (MCW) is presented to overcome problem related to movement and user command for elderly and paralyzed people. The MCW comprises of five individual control blocks, which are fed at the main control unit to provide appropriate control actions. The main feature of this assistive device is that it can navigate by following the eyesight of the user. The proposed MCW can also be controlled using either joystick or voice command or finger movement or through mobile app or a combination of all. This system uses multiple sensor networks to measure the terrain condition, users command and translate it into control action. The proposed control system runs on a Raspberry Pi, which can able to take a proper turn as well as capable to control forward or backward motion. Raspberry Pi, camera module and sensors networks, etc. were all connected into the android mobile system, shortening the physical distance between the disabled person end and the supervisor end and serial communication was used. Multiple-Layer system architecture with outstanding control functions was constructed that uses android mobile interfacing to realize the automatic control and capture videos of the room remotely. It is shown that the users can carry out all essential tasks with the proposed MCW, almost as fast as with the traditional controller. The smart wheelchair can assist elderly people and also improve their quality of life.Sudipta ChatterjeeSahadev RoyElsevierarticleImage processingMotor driverObject detectionPythonRaspberry piUltrasonic sensorEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3835-3841 (2021)
institution DOAJ
collection DOAJ
language EN
topic Image processing
Motor driver
Object detection
Python
Raspberry pi
Ultrasonic sensor
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Image processing
Motor driver
Object detection
Python
Raspberry pi
Ultrasonic sensor
Engineering (General). Civil engineering (General)
TA1-2040
Sudipta Chatterjee
Sahadev Roy
A low-cost assistive wheelchair for handicapped & elderly people
description In this paper, a mixed control wheelchair (MCW) is presented to overcome problem related to movement and user command for elderly and paralyzed people. The MCW comprises of five individual control blocks, which are fed at the main control unit to provide appropriate control actions. The main feature of this assistive device is that it can navigate by following the eyesight of the user. The proposed MCW can also be controlled using either joystick or voice command or finger movement or through mobile app or a combination of all. This system uses multiple sensor networks to measure the terrain condition, users command and translate it into control action. The proposed control system runs on a Raspberry Pi, which can able to take a proper turn as well as capable to control forward or backward motion. Raspberry Pi, camera module and sensors networks, etc. were all connected into the android mobile system, shortening the physical distance between the disabled person end and the supervisor end and serial communication was used. Multiple-Layer system architecture with outstanding control functions was constructed that uses android mobile interfacing to realize the automatic control and capture videos of the room remotely. It is shown that the users can carry out all essential tasks with the proposed MCW, almost as fast as with the traditional controller. The smart wheelchair can assist elderly people and also improve their quality of life.
format article
author Sudipta Chatterjee
Sahadev Roy
author_facet Sudipta Chatterjee
Sahadev Roy
author_sort Sudipta Chatterjee
title A low-cost assistive wheelchair for handicapped & elderly people
title_short A low-cost assistive wheelchair for handicapped & elderly people
title_full A low-cost assistive wheelchair for handicapped & elderly people
title_fullStr A low-cost assistive wheelchair for handicapped & elderly people
title_full_unstemmed A low-cost assistive wheelchair for handicapped & elderly people
title_sort low-cost assistive wheelchair for handicapped & elderly people
publisher Elsevier
publishDate 2021
url https://doaj.org/article/41d4518f94794a328936d7220fe49f71
work_keys_str_mv AT sudiptachatterjee alowcostassistivewheelchairforhandicappedampelderlypeople
AT sahadevroy alowcostassistivewheelchairforhandicappedampelderlypeople
AT sudiptachatterjee lowcostassistivewheelchairforhandicappedampelderlypeople
AT sahadevroy lowcostassistivewheelchairforhandicappedampelderlypeople
_version_ 1718418217382182912