Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs

The development of smart wheelchair systems has gained significant attention due to the increasing demand for assistive technologies that enhance the independence and mobility of individuals with disabilities. Traditional wheelchair control methods often limit the user’s ability to perform tasks with ease. This paper proposes an innovative dual-mode control system that integrates both hand gesture recognition and voice command technology to enable more intuitive, responsive, and adaptive control of wheelchairs. The proposed system combines the strengths of both gesture and voice recognition to provide a robust solution that adapts to the needs of users with various disabilities. A detailed description of the system architecture, implementation, and evaluation is provided.

Authors

Institutions

Publication Details

Journal
International Journal of Emerging Engineering and Technology
Published
2024-12-30
DOI
https://doi.org/10.57041/cf3geg55
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs

Muhammad Farhan Shahid, Asad Ali, Faheem Ashraf
International Journal of Emerging Engineering and Technology
Gaze Tracking and Assistive Technology
article

Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs

Muhammad Farhan Shahid, Asad Ali, Faheem Ashraf
article en

Abstract

The development of smart wheelchair systems has gained significant attention due to the increasing demand for assistive technologies that enhance the independence and mobility of individuals with disabilities. Traditional wheelchair control methods often limit the user’s ability to perform tasks with ease. This paper proposes an innovative dual-mode control system that integrates both hand gesture recognition and voice command technology to enable more intuitive, responsive, and adaptive control of wheelchairs. The proposed system combines the strengths of both gesture and voice recognition to provide a robust solution that adapts to the needs of users with various disabilities. A detailed description of the system architecture, implementation, and evaluation is provided.

International Journal of Emerging Engineering and TechnologyVol. 3(2)
Memorial University of Newfoundland (CA), University of Faisalabad (PK)
Government College University, Lahore
Openalex Percentile: Top 70%
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.

Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs — Muhammad Farhan Shahid, Asad Ali, et al. · International Journal of Emerging Engineering and Technology (2024) | TGRS Research Map | TGRS