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dc.contributor.authorMohammadi, Gheis
dc.contributor.authorShanbehzadeh, Jamshid
dc.contributor.authorSarrafzadeh, Hossein
dc.date.accessioned2016-06-03T01:47:00Z
dc.date.available2016-06-03T01:47:00Z
dc.date.issued2015-06-16
dc.identifier.issn2249-7277
dc.identifier.issn2277-7970
dc.identifier.urihttps://hdl.handle.net/10652/3409
dc.description.abstractEye blink rate (EBR) estimation is one of the informative cues and challengeable areas in eye-based systems that has a wide range of applications like the detecting a driver’s drowsiness, anxiety analysis, diseases detection and etc. This paper presents an adaptive blink rate estimation algorithm. The advantages of this algorithm are simplicity, accuracy, fastness, low computational cost and robustness against lighting conditions. This algorithm is based on simple image processing techniques. The first step of blink detection method is eye detection. To accomplish this task, we suppose that a fairly large face image is available. Each frame of the input video is processed and the location of the eye is found. The next step calculates a value to determine the state of eye. Our method uses this value to EBR estimation. This paper presents the accuracy of new algorithm by providing a data set of several people and comparing the results with some of the strong relevant methods. The experimental results show that the proposed method has overall accuracy of 98.91%. The average blink rate estimation time of new algorithm for a sample is less than 80 microseconds, which makes it suitable for real-time applications.en_NZ
dc.language.isoenen_NZ
dc.publisherACCENT Society (India)en_NZ
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 New Zealanden_NZ
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/nz/*
dc.subjecteye blink rate (EBR)en_NZ
dc.subjectvideo-baseden_NZ
dc.subjectmachine visionen_NZ
dc.subjecthuman computer interactionen_NZ
dc.subjectlow resolution cameraen_NZ
dc.subjectadaptive methoden_NZ
dc.subjectalgorithmsen_NZ
dc.titleA fast and adaptive video-based method for eye blink rate estimationen_NZ
dc.typeJournal Articleen_NZ
dc.rights.holder©2015 ACCENTSen_NZ
dc.subject.marsden080201 Analysis of Algorithms and Complexityen_NZ
dc.subject.marsden080602 Computer-Human Interactionen_NZ
dc.identifier.bibliographicCitationMohammadi, G., Shanbehzadeh, J., & Sarrafzadeh, A. (2015). A Fast and Adaptive Video-Based Method for Eye Blink Rate Estimation. International Journal of Advanced Computer Research, 5 (19), pp.105-114.en_NZ
unitec.institutionIslamic Azad University of Tehran, Iranen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage105en_NZ
unitec.publication.lpage114en_NZ
unitec.publication.volume5 (19)en_NZ
unitec.publication.titleInternational Journal of Advanced Computer Researchen_NZ
unitec.peerreviewedyesen_NZ
unitec.identifier.roms58164en_NZ


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