Human-Computer Interface with Eye Movement
S.Wilson Prakash1, S.Sri Hari2, R.M.Santhiya Sree3, P.G. Divya4
1Mr. S. Wilson Prakash*, Assistant Professor in Department of Information Technology at Sri Shakthi Institute of Engineering and Technology, Coimbatore.
2Sri Hari S Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
3Santhiya Sree R.M Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
4Divya P.G Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 920-924 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5726059720/2020©BEIESP | DOI: 10.35940/ijitee.G5726.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper focuses on using IR handset to operate the PC’s mouse pointer, which distinguishes the client’s eyeball creation for Human Machine Interface. Having the ability to perform left, right, up, down and double taps based on different eye squints with significantly high precision, it uses a viable example classification calculation. In view of the actual usage of Eye Contact, the sensor projections are usually used to gage self look headings in low- minus- calculations. The proposed architecture is a promising human-PC interface for flexible eye following applications due to its lightweight construction and strong precision.
Keywords: “Human-System interaction, Eye movement detection, Microchip PICkit2, Eye following”
Scope of the Article: Human Computer Interactions