Nose tracking cursor control for the people with disabilities: An improved HCI

Shadman Sakib Khan, Md Samiul Haque Sunny, M. Shifat Hossain, Eklas Hossain, Mohiuddin Ahmad

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

7 Scopus citations

Abstract

People with tetraplegia, suffering from traumatic brain injury, cerebral palsy, neurological injury or stroke, face a lot of difficulties to use standard input interface of personal computers, such as the keyboard and the mouse, during their rehabilitation and everyday life activities. Therefore, it is highly desired to develop Assistive Technologies (ATs) for people with tetraplegia. In this paper, Human Computer Interface (HCI) is implemented with digital image processing and a new approach to control personal computers with high efficiency. The main three features of this interface are nose tracking cursor control, auto brightness control and display control based on the presence and detection of valid human face. The proposed system is low cost and exhibits inherent security and power saving capabilities. MATLAB environment is used to perform the experiments and performance is analyzed by comparing the results with recent works.

Original languageEnglish
Title of host publication3rd International Conference on Electrical Information and Communication Technology, EICT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538623053
DOIs
StatePublished - 2 Jul 2017
Event3rd International Conference on Electrical Information and Communication Technology, EICT 2017 - Khulna, Bangladesh
Duration: 7 Dec 20179 Dec 2017

Publication series

Name3rd International Conference on Electrical Information and Communication Technology, EICT 2017
Volume2018-January

Conference

Conference3rd International Conference on Electrical Information and Communication Technology, EICT 2017
Country/TerritoryBangladesh
CityKhulna
Period7/12/179/12/17

Keywords

  • Assistive Technologies
  • Disabled people
  • Human Computer Interface
  • Nose Tracking
  • Viola Jones algorithm

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