Voice and Joystick Controlled Wheelchair for Physically Disabled Person

Abstract - The Wheelchair Voice Controller project is designed to assist individuals with physical disabilities by enabling wheelchair operation through voice commands. The system uses a voice recognition module connected to a microcontroller that interprets commands such as “forward,” “backward,” “left,” “right,” and “stop,” and sends corresponding signals to motor drivers that control the wheelchair’s movement. This hands-free control method provides users with greater independence and ease of navigation in daily environments. To enhance reliability, the system also includes a joystick as an alternative manual control. This dual-mode functionality ensures continuous operation in scenarios where voice control may be ineffective, such as noisy surroundings or when the user is unable to speak. Both input methods allow smooth transitions and responsive control for better user experience. The project emphasizes a balance between performance, cost-effectiveness, and usability, aiming to create a practical and affordable solution for people with mobility challenges. Overall, the project addresses the growing need for intelligent assistive technologies that improve the quality of life and independence for individuals with physical limitations. Key Words: Mobility assistance, Voice-controlled wheelchair, Speech recognition, Arduino Mega R3, Motor control, Assistive technology, Joystick Control

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-19
DOI
https://doi.org/10.55041/ijsrem48245
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Voice and Joystick Controlled Wheelchair for Physically Disabled Person

Umesh Cirvi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Gaze Tracking and Assistive Technology
article

Voice and Joystick Controlled Wheelchair for Physically Disabled Person

Umesh Cirvi
article en

Abstract

Abstract - The Wheelchair Voice Controller project is designed to assist individuals with physical disabilities by enabling wheelchair operation through voice commands. The system uses a voice recognition module connected to a microcontroller that interprets commands such as “forward,” “backward,” “left,” “right,” and “stop,” and sends corresponding signals to motor drivers that control the wheelchair’s movement. This hands-free control method provides users with greater independence and ease of navigation in daily environments. To enhance reliability, the system also includes a joystick as an alternative manual control. This dual-mode functionality ensures continuous operation in scenarios where voice control may be ineffective, such as noisy surroundings or when the user is unable to speak. Both input methods allow smooth transitions and responsive control for better user experience. The project emphasizes a balance between performance, cost-effectiveness, and usability, aiming to create a practical and affordable solution for people with mobility challenges. Overall, the project addresses the growing need for intelligent assistive technologies that improve the quality of life and independence for individuals with physical limitations. Key Words: Mobility assistance, Voice-controlled wheelchair, Speech recognition, Arduino Mega R3, Motor control, Assistive technology, Joystick Control

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 90%
Gaze Tracking and Assistive Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.