AIMC Topic: Persons with Disabilities
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Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Nov 19, 2015
This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objec...
Design and user evaluation of a wheelchair mounted robotic assisted transfer device.
BioMed research international
Feb 22, 2015
PURPOSE: The aim of this study is to describe the robotic assisted transfer device (RATD) and an initial focus group evaluation by end users. The purpose of the device is to aid in the transfers of people with disabilities to and from their electric ...
Multi-motion robots control based on bioelectric signals from single-channel dry electrode.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Feb 11, 2015
This article presents a multi-motion control system to help severe disabled people operate an auxiliary appliance using neck-up bioelectric signals measured by a single-channel dry electrode on the forehead. The single-channel dry-electrode multi-mot...
Towards a future robotic home environment: a survey.
Gerontology
Oct 22, 2014
PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time the number of active working people is falling. In the future, there will be less caretaking, which is necessary to support the aging population. In ord...
A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.
Scientific reports
Jul 2, 2025
In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabilities. Concurrently, smartphone applications (apps) have gained widespread popularity across diverse ...
Developing an interpretable machine learning model for screening depression in older adults with functional disability.
Journal of affective disorders
Jun 15, 2025
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...
Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators.
Scientific reports
Jun 1, 2025
The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipola...
The potential role of artificial intelligence to promote the participation and inclusion in physical exercise and sports for people with disabilities: A narrative review.
Journal of bodywork and movement therapies
Jun 1, 2025
The lack of physical activity presents a significant public health concern, particularly for individuals with disabilities who face heightened risks due to sedentary lifestyles. Despite progress, personal and environmental obstacles persist, hinderin...
Prioritizing disability support systems by using Tamir's complex fuzzy Dombi aggregation operators.
Scientific reports
May 20, 2025
Fuzzy sets can model the inherent ambiguity and subjectivity in disability assessment by allowing for flexible classification and decision-making. This contributes to the development of flexible clinical support systems that are effective in meeting ...
Utilizing Large Language Models to Monitor Social Media for Disability: An Analysis of Sentiment and Disability Models in Tweets.
Studies in health technology and informatics
May 15, 2025
This study explores how well large language models (like the kind that powers ChatGPT) can analyze online conversations about disability rights. We specifically looked at whether these models could: 1) identify if tweets about people with disabilitie...
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