Evidence map›Paper›PMID 35052177›Full record

ArticleHealthcare (Basel, Switzerland)2021

The Design of an Intelligent Robotic Wheelchair Supporting People with Special Needs, Including for Their Visual System.

Dorian Cojocaru, Liviu Florin Manta, Cristina Floriana Pană, Andrei Dragomir, Alexandru Marin Mariniuc, Ionel Cristian Vladu

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Dorian CojocaruDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.ORCID 0000-0002-5793-896X
Liviu Florin MantaDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.ORCID 0000-0002-2230-4414
Cristina Floriana PanăDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.ORCID 0000-0001-9577-1892
Andrei DragomirDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.
Alexandru Marin MariniucDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.
Ionel Cristian VladuDepartment of Mechatronics and Robotics, University of Craiova, RO-200440 Craiova, Romania.
University of Craiova · RO

Funding

Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii 78PCCDI/2018
6 · The paper itself

Abstract

The paper aims to study the applicability and limitations of the solution resulting from a design process for an intelligent system supporting people with special needs who are not physically able to control a wheelchair using classical systems. The intelligent system uses information from smart sensors and offers a control system that replaces the use of a joystick. The necessary movements of the chair in the environment can be determined by an intelligent vision system analyzing the direction of the patient's gaze and point of view, as well as the actions of the head. In this approach, an important task is to detect the destination target in the 3D workspace. This solution has been evaluated, outdoor and indoor, under different lighting conditions. In order to design the intelligent wheelchair, and because sometimes people with special needs also have specific problems with their optical system (e.g., strabismus, Nystagmus) the system was tested on different subjects, some of them wearing eyeglasses. During the design process of the intelligent system, all the tests involving human subjects were performed in accordance with specific rules of medical security and ethics. In this sense, the process was supervised by a company specialized in health activities that involve people with special needs. The main results and findings are as follows: validation of the proposed solution for all indoor lightning conditions; methodology to create personal profiles, used to improve the HMI efficiency and to adapt it to each subject needs; a primary evaluation and validation for the use of personal profiles in real life, indoor conditions. The conclusion is that the proposed solution can be used for persons who are not physically able to control a wheelchair using classical systems, having with minor vision deficiencies or major vision impairment affecting one of the eyes.

Indexed as

assistive roboticsbiomedical roboticseye gazeeye-tracking command systemHMI sensors and devices

Identifiers

PMID35052177
PMCPMC8774883
OpenAlexW4200450014

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.