Voice controlled Navigation With integrated Computer Vision and IoT

Leveraging a combination of computer vision, IoT and voice-controlled navigation, Next Generation AI Wheelchair is an innovative new assistive technology designed for people who have partial paralysis. This wheelchair makes life easier for users with motor handicaps providing mobility and independence through the autonomous navigation while avoiding an obstacle. It processes live visual data taken from a front-facing camera then uses image processing and AI algorithms to avoid obstacles and plan paths more accurately. In addition, if voice recognition technology is developed in the future, even people with low physical ability can easily operate the wheelchair. This paper focuses on the design and functionality of a user-centered assistive device, addressing the immediate need for versatility in assistive solutions. Since even a single control can provide more than one technology, the research work promises to take an integrated approach to mobility assistance with its multimodal controls, including voice commands, computer vision for obstacle detection and Internet of Things for remote monitoring. The caregivers are able to monitor the surroundings of the user and track the user’s location through direct communication enabled by an IoT integration. Through voice control, computer vision and the Internet of Things (IoT), it significantly reduces a user’s dependency on others just to be able to move around as they so wish; boosting their independence and confidence. The proposed wheelchair is thus a substantial leap forward in assistive technology to meet the varied needs of users by combining accessibility, safety and usability.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/iccc64910.2025.11077234
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 controlled Navigation With integrated Computer Vision and IoT

V Akshaya, V Swetha, Varun KV
Gaze Tracking and Assistive Technology
article

Voice controlled Navigation With integrated Computer Vision and IoT

V Akshaya, V Swetha, Varun KV
article en

Abstract

Leveraging a combination of computer vision, IoT and voice-controlled navigation, Next Generation AI Wheelchair is an innovative new assistive technology designed for people who have partial paralysis. This wheelchair makes life easier for users with motor handicaps providing mobility and independence through the autonomous navigation while avoiding an obstacle. It processes live visual data taken from a front-facing camera then uses image processing and AI algorithms to avoid obstacles and plan paths more accurately. In addition, if voice recognition technology is developed in the future, even people with low physical ability can easily operate the wheelchair. This paper focuses on the design and functionality of a user-centered assistive device, addressing the immediate need for versatility in assistive solutions. Since even a single control can provide more than one technology, the research work promises to take an integrated approach to mobility assistance with its multimodal controls, including voice commands, computer vision for obstacle detection and Internet of Things for remote monitoring. The caregivers are able to monitor the surroundings of the user and track the user’s location through direct communication enabled by an IoT integration. Through voice control, computer vision and the Internet of Things (IoT), it significantly reduces a user’s dependency on others just to be able to move around as they so wish; boosting their independence and confidence. The proposed wheelchair is thus a substantial leap forward in assistive technology to meet the varied needs of users by combining accessibility, safety and usability.

Rajalakshmi Engineering College
Affordable and clean energy
Openalex Percentile: Top 81%
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.

Voice controlled Navigation With integrated Computer Vision and IoT — V Akshaya, V Swetha, et al. · (2025) | TGRS Research Map | TGRS