IoT Based Wheelchair for Disabled Persons

Abstract: This project presents the development of an IoT-based wheelchair designed to enhance mobility, safety, and independence for individuals with disabilities. The integration of Internet of Things (IoT) technologies allows for real-time monitoring and control of the wheelchair’s functions, making it smarter, more efficient, and user-friendly. Key features include GPS tracking, health monitoring, automatic obstacle detection, voice and mobile control, and smart home integration, all aimed at improving the user’s quality of life.The wheelchair is equipped with sensors that monitor the user’s vital signs (e.g., heart rate, body temperature) and alert caregivers or healthcare providers to any abnormalities. Additionally, fall detection and automatic alerts ensure that immediate assistance is provided in case of accidents. Real-time location tracking enhances security, and obstacle avoidance systems prevent accidents by automatically adjusting the wheelchair’s path.This IoT-based wheelchair also offers remote control features through a mobile application, allowing the user to control their environment, such as adjusting lighting or controlling doors, directly from the wheelchair. It provides maintenance alerts, notifying users and caregivers of potential issues, thereby reducing the risk of mechanical failure.Overall, the IoT-based wheelchair is designed to promote greater independence, safety, and health management for users, while providing efficient support for caregivers, and paving the way for future advancements in assistive technology.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-18
DOI
https://doi.org/10.22214/ijraset.2025.70912
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

IoT Based Wheelchair for Disabled Persons

Manoj Prabu M
International Journal for Research in Applied Science and Engineering Technology
Gaze Tracking and Assistive Technology
article

IoT Based Wheelchair for Disabled Persons

Manoj Prabu M
article en

Abstract

Abstract: This project presents the development of an IoT-based wheelchair designed to enhance mobility, safety, and independence for individuals with disabilities. The integration of Internet of Things (IoT) technologies allows for real-time monitoring and control of the wheelchair’s functions, making it smarter, more efficient, and user-friendly. Key features include GPS tracking, health monitoring, automatic obstacle detection, voice and mobile control, and smart home integration, all aimed at improving the user’s quality of life.The wheelchair is equipped with sensors that monitor the user’s vital signs (e.g., heart rate, body temperature) and alert caregivers or healthcare providers to any abnormalities. Additionally, fall detection and automatic alerts ensure that immediate assistance is provided in case of accidents. Real-time location tracking enhances security, and obstacle avoidance systems prevent accidents by automatically adjusting the wheelchair’s path.This IoT-based wheelchair also offers remote control features through a mobile application, allowing the user to control their environment, such as adjusting lighting or controlling doors, directly from the wheelchair. It provides maintenance alerts, notifying users and caregivers of potential issues, thereby reducing the risk of mechanical failure.Overall, the IoT-based wheelchair is designed to promote greater independence, safety, and health management for users, while providing efficient support for caregivers, and paving the way for future advancements in assistive technology.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
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.