Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients

Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Ashish Dutta, Girijesh Prasad

Research output: Contribution to journalArticle

9 Citations (Scopus)
50 Downloads (Pure)
Original languageEnglish
Pages (from-to)911-922
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume26
Issue number4
Early online date12 Mar 2018
DOIs
Publication statusE-pub ahead of print - 12 Mar 2018

Keywords

  • Gaze tracking
  • human computer interaction
  • graphical user interfaces
  • optimization methods
  • performance evaluation.

Cite this

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title = "Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients",
keywords = "Gaze tracking, human computer interaction, graphical user interfaces, optimization methods, performance evaluation.",
author = "Meena, {Yogesh Kumar} and Hubert Cecotti and KongFatt Wong-Lin and Ashish Dutta and Girijesh Prasad",
year = "2018",
month = "3",
day = "12",
doi = "10.1109/TNSRE.2018.2814826",
language = "English",
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journal = "IEEE Transactions on Neural Systems and Rehabilitation Engineering",
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AU - Meena, Yogesh Kumar

AU - Cecotti, Hubert

AU - Wong-Lin, KongFatt

AU - Dutta, Ashish

AU - Prasad, Girijesh

PY - 2018/3/12

Y1 - 2018/3/12

KW - Gaze tracking

KW - human computer interaction

KW - graphical user interfaces

KW - optimization methods

KW - performance evaluation.

U2 - 10.1109/TNSRE.2018.2814826

DO - 10.1109/TNSRE.2018.2814826

M3 - Article

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VL - 26

SP - 911

EP - 922

JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering

JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering

SN - 1534-4320

IS - 4

ER -