Detecting of eyeball movements for choosing menu in display monitor using height and sector percentage measurement approaches

Autor: Yuita Arum Sari, Dahnial Syauqy, Gusti Pangestu, Timothy K. Shih, Fitri Utaminingrum
Rok vydání: 2021
Předmět:
Zdroj: Multimedia Tools and Applications. 80:29827-29848
ISSN: 1573-7721
1380-7501
Popis: The number of disable people increases each years. This growing phenomenon attracts attention, especially for many researcher in order to help people with disabilities. Generally, disable people has a problem to do an activity by himself, because their hand and feet can not to be used normally. Many developed technology’s with an aim of helping the disabilities. One of them is a wheelchair. It is the most common stuff that used for helping disabilities as a tool for mobilization. There are two types of wheelchair. The first is the manual wheelchair, operated by hand. The second is an electrical wheelchair, that operated by joystick or other electric device. Both types of wheelchairs still uses a hand for operating the navigation. Meanwhile, recently, the development of smart wheelchair technology has been built up by using a display monitor with several menus selection and caused a problem for selecting menu in display monitor for disable people with hand defects. Based on those problems, this research proposed a selection method of navigation menu in the smart-wheelchair by utilizing the movements of the eyeball as an alternative solution for persons with disabilities in handicapped hands by using Height Measurement Approach and Sector Percentage Measurement.
Databáze: OpenAIRE
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