Human-computer interface controlled by the lip
- PMID:25561451
- DOI: 10.1109/JBHI.2014.2305103
Human-computer interface controlled by the lip
Erratum in
- Corrections to "Human-Computer Interface Controlled by the Lip".Jose MA, de Deus Lopes R.Jose MA, et al.IEEE J Biomed Health Inform. 2020 Sep;24(9):2727. doi: 10.1109/JBHI.2020.3012379.IEEE J Biomed Health Inform. 2020.PMID:32886605No abstract available.
Abstract
Lip control system is an innovative human-computer interface specially designed for people with tetraplegia. This paper presents an evaluation of the lower lip potential to control an input device, according to Fitts' law (ISO/TS 9241-411:2012 standard). The results show that the lower lip throughput is comparable with the thumb throughput using the same input device under the same conditions. These results establish the baseline for future research studies about the lower lip capacity to operate a computer input device.
Similar articles
- Using Fitts's law for evaluating Tongue Drive System as a pointing device for computer access.Yousefi B, Huo X, Ghovanloo M.Yousefi B, et al.Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4403-6. doi: 10.1109/IEMBS.2010.5627130.Annu Int Conf IEEE Eng Med Biol Soc. 2010.PMID:21096460Free PMC article.
- TongueWise: Tongue-computer interface software for people with tetraplegia.Caltenco HA, Andreasen Struijk LN, Breidegard B.Caltenco HA, et al.Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4534-7. doi: 10.1109/IEMBS.2010.5626033.Annu Int Conf IEEE Eng Med Biol Soc. 2010.PMID:21095789
- Development and functional demonstration of a wireless intraoral inductive tongue computer interface for severely disabled persons.N S Andreasen Struijk L, Lontis ER, Gaihede M, Caltenco HA, Lund ME, Schioeler H, Bentsen B.N S Andreasen Struijk L, et al.Disabil Rehabil Assist Technol. 2017 Aug;12(6):631-640. doi: 10.1080/17483107.2016.1217084. Epub 2016 Sep 28.Disabil Rehabil Assist Technol. 2017.PMID:27678024
- Mediating group dynamics through tabletop interface design.Morris MR, Cassanego A, Paepcke A, Winograd T, Piper AM, Huang A.Morris MR, et al.IEEE Comput Graph Appl. 2006 Sep-Oct;26(5):65-73. doi: 10.1109/mcg.2006.114.IEEE Comput Graph Appl. 2006.PMID:16983890Review.No abstract available.
- Informing the design of direct-touch tabletops.Shen C, Ryall K, Forlines C, Esenther A, Verniers FD, Everitt K, Wu M, Wigdor D, Morris MR, Hancock M, Tse E.Shen C, et al.IEEE Comput Graph Appl. 2006 Sep-Oct;26(5):36-46. doi: 10.1109/mcg.2006.109.IEEE Comput Graph Appl. 2006.PMID:16983887Review.No abstract available.
Cited by
- Prediction of Optimal Facial Electromyographic Sensor Configurations for Human-Machine Interface Control.Vojtech JM, Cler GJ, Stepp CE.Vojtech JM, et al.IEEE Trans Neural Syst Rehabil Eng. 2018 Aug;26(8):1566-1576. doi: 10.1109/TNSRE.2018.2849202. Epub 2018 Jun 20.IEEE Trans Neural Syst Rehabil Eng. 2018.PMID:29994124Free PMC article.
- An Automated Electronic System in a Motorized Wheelchair for Telemonitoring: Mixed Methods Study Based on Internet of Things.Câmara Gradim LC, Santana ALM, Archanjo José M, Zuffo MK, Lopes RD.Câmara Gradim LC, et al.JMIR Form Res. 2023 Nov 8;7:e49102. doi: 10.2196/49102.JMIR Form Res. 2023.PMID:37776327Free PMC article.
MeSH terms
Related information
LinkOut - more resources
Full Text Sources