Automatizing step-climbing feature in a wheelchair via digitized movement control for value-sensitive market

This article presents a cost-efficient automation of a step-climbing mechatronic mechanism of a wheelchair, enabling spatial movement in vertical and horizontal directions to address accessibility and independence issues for people with mobility limitations [1]. The study delves into extant technologies to work on an innovative mechanism that employs auto-controlling measures for step-climbing wheelchairs at an affordable cost for the value-sensitive market. The design entails creating an optimum, flexible system using an electric actuator attached to a fork-bracket to hold the wheels, sonar sensors for elevation, and IR sensors for obstacle detection, which are interfaced with a microcontroller, as safety and convenience are paramount in assistive technology-based devices [5]. The design simulation results show that the control mechanism is able to successfully perform the climbing operation, which in real-world situations could be from the road to the pavement, validated with hardware modeling. The wheelset movement is guided using an automated control module to sense the height for implementing the step-climbing process, as is the requirement for accessible, low-cost technology development for those with limited mobility, promoting increased self-sufficiency and social integration [2]. The design precept would inspire the assistive technology industry and users alike, creating a potent market opportunity.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2024-10-01
DOI
https://doi.org/10.1049/icp.2024.3484
Citations
2
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatizing step-climbing feature in a wheelchair via digitized movement control for value-sensitive market

Pranab K. Dan, Kartik Sharma, Tushar Tiwari, Chiranjib Rudra et al.
2 citations
IET conference proceedings.
Gaze Tracking and Assistive Technology
0.74
article

Automatizing step-climbing feature in a wheelchair via digitized movement control for value-sensitive market

Pranab K. Dan, Kartik Sharma, Tushar Tiwari, Chiranjib Rudra, Mayank Singh
article en
2 citations

Abstract

This article presents a cost-efficient automation of a step-climbing mechatronic mechanism of a wheelchair, enabling spatial movement in vertical and horizontal directions to address accessibility and independence issues for people with mobility limitations [1]. The study delves into extant technologies to work on an innovative mechanism that employs auto-controlling measures for step-climbing wheelchairs at an affordable cost for the value-sensitive market. The design entails creating an optimum, flexible system using an electric actuator attached to a fork-bracket to hold the wheels, sonar sensors for elevation, and IR sensors for obstacle detection, which are interfaced with a microcontroller, as safety and convenience are paramount in assistive technology-based devices [5]. The design simulation results show that the control mechanism is able to successfully perform the climbing operation, which in real-world situations could be from the road to the pavement, validated with hardware modeling. The wheelset movement is guided using an automated control module to sense the height for implementing the step-climbing process, as is the requirement for accessible, low-cost technology development for those with limited mobility, promoting increased self-sufficiency and social integration [2]. The design precept would inspire the assistive technology industry and users alike, creating a potent market opportunity.

IET conference proceedings.Vol. 2024(11)
Indian Institute of Technology Kharagpur (IN)
Openalex Percentile: Top 26%
Gaze Tracking and Assistive Technology
0.74
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.

Automatizing step-climbing feature in a wheelchair via digitized movement control for value-sensitive market — Pranab K. Dan, Kartik Sharma, et al. · IET conference proceedings. (2024) | TGRS Research Map | TGRS