Evidence map›Paper›PMID 34922590›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Eye-gaze control of a wheelchair mounted 6DOF assistive robot for activities of daily living.

Md Samiul Haque Sunny, Md Ishrak Islam Zarif, Ivan Rulik, Javier Sanjuan, Mohammad Habibur Rahman, Sheikh Iqbal Ahamed, Inga Wang, Katie Schultz, Brahim Brahmi

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Voice-Controlled Dual-Site Functional Electrical Stimulation Enables Tenodesis Grasping.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  7. Article
  8. HardwareX · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Kinematic Optimization and Comparison of Wheelchair-mounted Assistive Robots for Activities of Daily Living.International Conference on Power Electronics and Drive Systems : [proceedings]. International Conference on Power Electronics and Drive Systems · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Kinematics and Workspace Analysis of xArm6 Robot for Activities of Daily Living.Proceedings. International Conference on Industrial & Mechanical Engineering and Operations Management · 2021
    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

9 authors at 4 institutions in 1 country.

Md Samiul Haque SunnyDepartment of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA. msunny@uwm.edu.ORCID 0000-0002-6584-1877
Md Ishrak Islam ZarifDepartment of Computer Science, Marquette University, Milwaukee, WI, 53233, USA.
Ivan RulikDepartment of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA.
Javier SanjuanMechanical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA.
Mohammad Habibur RahmanMechanical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA.
Sheikh Iqbal AhamedDepartment of Computer Science, Marquette University, Milwaukee, WI, 53233, USA.
Inga WangDepartment of Rehabilitation Sciences and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA.
Katie SchultzClement J. Zablocki VA Medical Center, Milwaukee, WI, 53295, USA.
Brahim BrahmiDepartment of Electrical and Computer Engineering, Miami University, Oxford, OH, 45056, USA.
University of Wisconsin–Milwaukee · USMarquette University · USMiami University · USMilwaukee VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBuilding control architecture that balances the assistive manipulation systems with the benefits of direct human control is a crucial challenge of human-robot collaboration. It promises to help people with disabilities more efficiently control wheelchair and wheelchair-mounted robot arms to accomplish activities of daily living.

methodsIn this study, our research objective is to design an eye-tracking assistive robot control system capable of providing targeted engagement and motivating individuals with a disability to use the developed method for self-assistance activities of daily living. The graphical user interface is designed and integrated with the developed control architecture to achieve the goal.

resultsWe evaluated the system by conducting a user study. Ten healthy participants performed five trials of three manipulation tasks using the graphical user interface and the developed control framework. The 100% success rate on task performance demonstrates the effectiveness of our system for individuals with motor impairments to control wheelchair and wheelchair-mounted assistive robotic manipulators.

conclusionsWe demonstrated the usability of using this eye-gaze system to control a robotic arm mounted on a wheelchair in activities of daily living for people with disabilities. We found high levels of acceptance with higher ratings in the evaluation of the system with healthy participants.

Indexed as

Persons with DisabilitiesRoboticsSelf-Help DevicesWheelchairsActivities of Daily LivingHumansUser-Computer Interface6DoFActivities of daily livingAssistive robotEye-gaze controlMotor dysfunctionWheelchairWheelchair mounted robot

Identifiers

PMID34922590
PMCPMC8684692
OpenAlexW4225773942

What OpenQuestion holds

Textmetadata
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.