A hands-free human-computer-interface platform for paralyzed patients using a teng-based eyelash motion sensor

David F. Vera Anaya, Mehmet R. Yuce

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

People with body disabilities as a result of neurological diseases or physical accidents, face daily troubles in some situations that require arm or finger motions. Access to expensive assistive technologies can be difficult, and job opportunities can be low for patients with limited mobility. Triboelectric nanogenerators (TENGs) bring a new concept enabling the design of special sensors that can be used in Human-Computer-Interfaces (HCIs) to support people with disabilities. In this manuscript, it is proposed a novel eye motion sensor based on TENG integrated into an HCI leading to hands-free typing on the computer. We demonstrate that by controlling the cursor, the user can pick up the characters from a virtual keyboard and write an algorithm in the Integrated-Development-Environment (IDE) of Python language. The novel eye sensor recognizes the eyelash motion detected from the triboelectric interaction between human hair and silicone. It is shown that a user is able to write a simple python program to display a message on the computer without the use of hands. Finally, we hope this development can support disabled patients to improve their programming skills and provide improved job opportunities in areas such as information technology or computer science.

Original languageEnglish
Title of host publication2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
EditorsBenoit Gosselin
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4567-4570
Number of pages4
ISBN (Electronic)9781728119908
ISBN (Print)9781728119915
DOIs
Publication statusPublished - Jul 2020
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2020 - Montreal, Canada
Duration: 20 Jul 202024 Jul 2020
Conference number: 42nd
https://embc.embs.org/2020/

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2020-July
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2020
Abbreviated titleEMBC 2020
CountryCanada
CityMontreal
Period20/07/2024/07/20
Internet address

Cite this

Vera Anaya, D. F., & Yuce, M. R. (2020). A hands-free human-computer-interface platform for paralyzed patients using a teng-based eyelash motion sensor. In B. Gosselin (Ed.), 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4567-4570). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2020-July). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC44109.2020.9175767