Smart home automation system based on eye tracking for quadriplegic users

field_of_study

Blank

university

Al-Azhar University – Gaza

authors

Aqel M.O.A.; Alashqar A.; Badra A.

authors_full_names

Aqel, Mohammad O.A. (57191223539); Alashqar, Ahmed (57221861356); Badra, Alaa (57221869881)

authors_id

57191223539; 57221861356; 57221869881

year

2020

source_title

Proceedings - 2020 International Conference on Assistive and Rehabilitation Technologies, iCareTech 2020

article_title

Smart home automation system based on eye tracking for quadriplegic users

page_start

76

page_end

81

publisher

Institute of Electrical and Electronics Engineers Inc.

article_number

9328053

affiliations

Al-Azhar University-Gaza, Faculty of Engineering and Information Technology, Department of Engineering, Gaza P.O Box 1277, Palestine

authors_with_affiliations

Aqel M.O.A., Al-Azhar University-Gaza, Faculty of Engineering and Information Technology, Department of Engineering, Gaza P.O Box 1277, Palestine; Alashqar A., Al-Azhar University-Gaza, Faculty of Engineering and Information Technology, Department of Engineering, Gaza P.O Box 1277, Palestine; Badra A., Al-Azhar University-Gaza, Faculty of Engineering and Information Technology, Department of Engineering, Gaza P.O Box 1277, Palestine

cited_by

11

doi

10.1109/iCareTech49914.2020.00022

author_keywords

Disability; Eye tracking; OpenCV; Python; Quadriplegia; Smart home; Webcam

index_keywords

Ambient intelligence; Application programs; Automation; Cost effectiveness; Domestic appliances; Eye movements; User interfaces; Assistive; Disabled people; IS costs; Old age; People with disabilities; Python programming language; Smart homes; Smart-home system; Eye tracking