Comprehensive Featured Based Standing Wheelchair Using Voice and Gesture Control for Enhancing Mobility and Accessibility

When it comes to independence and flexibility, the key issue that most affects the elderly and handicapped people is their ability to live freely and independently engage in and access parts of life. This research investigates and reveals a few derides difficulties, including physically challenged people having difficulty moving and patients wasting energy while operating a manual electrical wheelchair. Meanwhile, the risk of injury is greatest while transitioning to bed. So, the goal of this innovation is to solve the issues of three people at once. This wheelchair can stand and recline, which helps with a range of physical and medical concerns such as tight muscles, pressure points that cause pressure sores, poor blood circulation, and dependency on external aid. Furthermore, this prototype standing wheelchair may be operated by voice control or a control system on a smartphone device. Its ability to change from sitting to standing to recline and to automatically stop when it encounters a barrier is its standout feature. Adjustments for standing and reclining can be made via linear actuators. In an emergency, the wheelchair user’s precise location will be updated via a GPS tracking device. The ultrasonic sensor system for obstacle avoidance and the battery alarm system for charging needs will immediately notify the user.

Authors

Institutions

Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/icit63607.2024.10859613
Primary Topic
Assistive Technology in Communication and Mobility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Featured Based Standing Wheelchair Using Voice and Gesture Control for Enhancing Mobility and Accessibility

Muhammad Anique Aslam, Muhammad Asif, Muhammad Zeeshan, Aashir Waleed
1 links
Assistive Technology in Communication and Mobility
article

Comprehensive Featured Based Standing Wheelchair Using Voice and Gesture Control for Enhancing Mobility and Accessibility

Muhammad Anique Aslam, Muhammad Asif, Muhammad Zeeshan, Aashir Waleed
article en

Abstract

When it comes to independence and flexibility, the key issue that most affects the elderly and handicapped people is their ability to live freely and independently engage in and access parts of life. This research investigates and reveals a few derides difficulties, including physically challenged people having difficulty moving and patients wasting energy while operating a manual electrical wheelchair. Meanwhile, the risk of injury is greatest while transitioning to bed. So, the goal of this innovation is to solve the issues of three people at once. This wheelchair can stand and recline, which helps with a range of physical and medical concerns such as tight muscles, pressure points that cause pressure sores, poor blood circulation, and dependency on external aid. Furthermore, this prototype standing wheelchair may be operated by voice control or a control system on a smartphone device. Its ability to change from sitting to standing to recline and to automatically stop when it encounters a barrier is its standout feature. Adjustments for standing and reclining can be made via linear actuators. In an emergency, the wheelchair user’s precise location will be updated via a GPS tracking device. The ultrasonic sensor system for obstacle avoidance and the battery alarm system for charging needs will immediately notify the user.

University of Engineering and Technology Lahore (PK)
Openalex Percentile: Top 53%
Assistive Technology in Communication and Mobility
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.