Relevant bibliographies by topics / Blink recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Blink recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Blink recognition"

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Rogalska, Anna, Filip Rynkiewicz, Marcin Daszuta, Krzysztof Guzek, and Piotr Napieralski. "Blinking Extraction in Eye gaze System for Stereoscopy Movies." Open Physics 17, no. 1 (September 21, 2019): 512–18. http://dx.doi.org/10.1515/phys-2019-0053.

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Abstract The aim of this paper is to present methods for human eye blink recognition. The main function of blinking is to spread tears across the eye and remove irratants from the surface of the cornea and conjuctiva. Blinking can be associated with internal memory processing, fatigue or activation in central nervous system. There are currently many methods for automatic blink detection. The most reliable methods include EOG or EEG signals. These methods, however, are associated with a decrease in the comfort of the examined person. This paper presents a method to detect blinks with the eye-tracker device. There are currently many blink detection methods for this devices. Two popular eye-trackers were tested in this paper. In addition a method for improving detection efficiency was proposed.
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Stankevich, Lev A., Sabina S. Amanbaeva, and Aleksandr V. Samochadin. "User Authentication by Electroencephalographic Signals when Blinkin." Computer tools in education, no. 3 (September 30, 2019): 52–69. http://dx.doi.org/10.32603/2071-2340-2019-3-52-69.

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The article presents the results of a study in the field of applying electroencephalography (EEG) for human authentication. An algorithm for EEG authentication based on blinks has been developed and described. Authentication is carried out by one blink, which takes 2-5 seconds. The data is collected using a Muse electroencephalograph. Data preprocessing includes wavelet transform and blink detection. Geometric characteristics of the EEG signals are used as features. Recognition is conducted by the Random Forest classifier. According to the test results, the percentage of correct authentication was 95 %. There is the possibility of background authentication. The implemented system may be used to authenticate students at distant education.
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Ren, Peng, Xiaole Ma, Wenjia Lai, Min Zhang, Shengnan Liu, Ying Wang, Min Li, et al. "Comparison of the Use of Blink Rate and Blink Rate Variability for Mental State Recognition." IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, no. 5 (May 2019): 867–75. http://dx.doi.org/10.1109/tnsre.2019.2906371.

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Jackson, M. C., and J. E. Raymond. "Familiarity effects on face recognition in the attentional blink." Journal of Vision 3, no. 9 (March 18, 2010): 817. http://dx.doi.org/10.1167/3.9.817.

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Wu, Junwen, and Mohan M. Trivedi. "An eye localization, tracking and blink pattern recognition system." ACM Transactions on Multimedia Computing, Communications, and Applications 6, no. 2 (March 2010): 1–23. http://dx.doi.org/10.1145/1671962.1671964.

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Borza, Diana, Razvan Itu, and Radu Danescu. "In the Eye of the Deceiver: Analyzing Eye Movements as a Cue to Deception." Journal of Imaging 4, no. 10 (October 16, 2018): 120. http://dx.doi.org/10.3390/jimaging4100120.

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Deceit occurs in daily life and, even from an early age, children can successfully deceive their parents. Therefore, numerous book and psychological studies have been published to help people decipher the facial cues to deceit. In this study, we tackle the problem of deceit detection by analyzing eye movements: blinks, saccades and gaze direction. Recent psychological studies have shown that the non-visual saccadic eye movement rate is higher when people lie. We propose a fast and accurate framework for eye tracking and eye movement recognition and analysis. The proposed system tracks the position of the iris, as well as the eye corners (the outer shape of the eye). Next, in an offline analysis stage, the trajectory of these eye features is analyzed in order to recognize and measure various cues which can be used as an indicator of deception: the blink rate, the gaze direction and the saccadic eye movement rate. On the task of iris center localization, the method achieves within pupil localization in 91.47% of the cases. For blink localization, we obtained an accuracy of 99.3% on the difficult EyeBlink8 dataset. In addition, we proposed a novel metric, the normalized blink rate deviation to stop deceitful behavior based on blink rate. Using this metric and a simple decision stump, the deceitful answers from the Silesian Face database were recognized with an accuracy of 96.15%.
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Usakli, Ali Bulent, Ana Susac, and Serkan Gurkan. "Fast face recognition: Eye blink as a reliable behavioral response." Neuroscience Letters 504, no. 1 (October 2011): 49–52. http://dx.doi.org/10.1016/j.neulet.2011.08.055.

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Bach, Dominik R., Martin Schmidt-Daffy, and Raymond J. Dolan. "Facial expression influences face identity recognition during the attentional blink." Emotion 14, no. 6 (December 2014): 1007–13. http://dx.doi.org/10.1037/a0037945.

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Wang, Mei, Lin Guo, and Wen-Yuan Chen. "Blink detection using Adaboost and contour circle for fatigue recognition." Computers & Electrical Engineering 58 (February 2017): 502–12. http://dx.doi.org/10.1016/j.compeleceng.2016.09.008.

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John, Sofia Jennifer, and Sree T. Sharmila. "Real time blink recognition from various head pose using single eye." Multimedia Tools and Applications 77, no. 23 (June 5, 2018): 31331–45. http://dx.doi.org/10.1007/s11042-018-6113-3.

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Dissertations / Theses on the topic "Blink recognition"

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Vlach, Jan. "Metody a aplikace detekce mrkání očí s využitím číslicového zpracování obrazu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233468.

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The thesis deals with eye blink detection, which is part of complex topic of face detection and recognition. The work intents on digital image processing. There is analyse of the topic and description of image databases for testing. Two main chapters describe design of eye blink detection with digital image processing with IR technology and without IR technology.
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Tesárek, Viktor. "Detekce mrkání a rozpoznávání podle mrkání očí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217560.

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This master thesis deals with the issues of the eye blink recognition from video. The main task is to analyse algorithms dealing with a detection of persons and make a program that could recognize the eye blink. Analysis of these algorithms and their problems are in the first part of this thesis. In the second part design and properties of my program are described. The realization of the program is based on the method of move detection using the accumulated difference frame, which helps to identify the eye areas. The eye blink detection algorithm tests a match between a tresholded pattern of the eye area taken from the actual frame and the frame before. The resolution whether the eye blink happened or not, is based on the level of the match. The algorithm is designed for watching a sitting man, which is slightly moving. The background can be a little dynamic as well. An average quality video with a moderator and dynamic backround was used as a tested subject.
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Hudson, Darren M. "Restoration of confocal images using Bayesian and blind deconvolution methods." Thesis, University of East Anglia, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323308.

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Hubert-Brierre, Florent Maxime. "Distortion compensation in speech signals using a blind iterative algorithm based on memoryless symmetrical nonlinearities." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/15804.

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Erdem, Erem. "Digital Modulation Recognition." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611281/index.pdf.

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In this thesis work, automatic recognition algorithms for digital modulated signals are surveyed. Feature extraction and classification algorithm stages are the main parts of a modulation recognition system. Performance of the modulation recognition system mainly depends on the prior knowledge of some of the signal parameters, selection of the key features and classification algorithm selection. Unfortunately, most of the features require some of the signal parameters such as carrier frequency, pulse shape, time of arrival, initial phase, symbol rate, signal to noise ratio, to be known or to be extracted. Thus, in this thesis, features which do not require prior knowledge of the signal parameters, such as the number of the peaks in the envelope histogram and the locations of these peaks, the number of peaks in the frequency histogram, higher order moments of the signal are considered. Particularly, symbol rate and signal to noise ratio estimation methods are surveyed. A method based on the cyclostationarity analysis is used for symbol rate estimation and a method based on the eigenvector decomposition is used for the estimation of signal to noise ratio. Also, estimated signal to noise ratio is used to improve the performance of the classification algorithm. Two methods are proposed for modulation recognition: 1) Decision tree based method 2) Bayesian based classification method A method to estimate the symbol rate and carrier frequency offset of minimum-shift keying (MSK) signal is also investigated.
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Winkler, Thomas [Verfasser]. "From Acoustic Mismatch Towards Blind Acoustic Model Selection in Automatic Speech Recognition / Thomas Winkler." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1044970871/34.

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Smith, Daniel. "An analysis of blind signal separation for real time application." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20070815.152400/index.html.

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Choi, Hyung Keun. "Blind source separation of the audio signals in a real world." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/14986.

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Mahdian, Toroghi Rahil [Verfasser], and Dietrich [Akademischer Betreuer] Klakow. "Blind speech separation in distant speech recognition front-end processing / Rahil Mahdian Toroghi ; Betreuer: Dietrich Klakow." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2016. http://d-nb.info/1119802229/34.

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Hoffman, Jeffrey Dean. "Using Blind Source Separation and a Compact Microphone Array to Improve the Error Rate of Speech Recognition." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/3367.

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Automatic speech recognition has become a standard feature on many consumer electronics and automotive products, and the accuracy of the decoded speech has improved dramatically over time. Often, designers of these products achieve accuracy by employing microphone arrays and beamforming algorithms to reduce interference. However, beamforming microphone arrays are too large for small form factor products such as smart watches. Yet these small form factor products, which have precious little space for tactile user input (i.e. knobs, buttons and touch screens), would benefit immensely from a user interface based on reliably accurate automatic speech recognition. This thesis proposes a solution for interference mitigation that employs blind source separation with a compact array of commercially available unidirectional microphone elements. Such an array provides adequate spatial diversity to enable blind source separation and would easily fit in a smart watch or similar small form factor product. The solution is characterized using publicly available speech audio clips recorded for the purpose of testing automatic speech recognition algorithms. The proposal is modelled in different interference environments and the efficacy of the solution is evaluated. Factors affecting the performance of the solution are identified and their influence quantified. An expectation is presented for the quality of separation as well as the resulting improvement in word error rate that can be achieved from decoding the separated speech estimate versus the mixture obtained from a single unidirectional microphone element. Finally, directions for future work are proposed, which have the potential to improve the performance of the solution thereby making it a commercially viable product.
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Books on the topic "Blink recognition"

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Wilson, Cheryl. Building a profession: The practitioner recognition initiative in the deaf/deaf blind literacy field : phase II. Mississauga, Ont: Goal, 2002.

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Weisrock, Katharina. Götterblick und Zaubermacht: Auge, Blick und Wahrnehmung in Aufklärung und Romantik. Opladen: Westdeutscher Verlag, 1990.

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Bird, Colin. The Theory and Politics of Recognition. Edited by Serena Olsaretti. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199645121.013.11.

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This chapter investigates the relationship between the so-called ‘politics of recognition’ and the philosophical discussion of principles of distributive justice. It argues that the literature has failed to distinguish clearly between three forms of recognition potentially relevant to distributive justice: status-recognition, authenticity-recognition and worth-recognition. Each of these forms of recognition is explored, and their various possible links to arguments about the requirements of justice are distinguished and critically discussed. Against much conventional wisdom, the chapter suggests that models of recognition built around the recognition of ‘equal status’ need not be problematically ‘difference blind’; that claims about authenticity-recognition have a more tenuous relation to discussion of (distributive) justice than many suppose; and that disadvantaged individuals’ need for respectful recognition is not reducible either to claims about their moral status or to demands that identity be authentically expressed in social discourse.
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(Editor), Shoji Makino, Te-Won Lee (Editor), and Hiroshi Sawada (Editor), eds. Blind Speech Separation (Signals and Communication Technology). Springer, 2007.

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Kleege, Georgina. More than Meets the Eye. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190604356.001.0001.

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More Than Meets the Eye: What Blindness Brings to Art explores the ways blindness and visual art are linked in many facets of the culture. The author writes from her position as the blind daughter of two visual artists. Due to this background, she claims to know something about art, but recognizes that this claim challenges cultural notions that conflate seeing with knowing. The book examines the ways blindness has been represented in philosophy, visual culture, and cognitive science, showing how these traditional understandings of blindness rely on an over-determined, one-to-one correspondence between touch in the blind and sight in the sighted, as if the other senses and other forms of cognition play no role in perception. Unfortunately, this reductive image of blindness often influences the design of museum access programs for the blind, including touch tours and verbal description of art. The book places these representations in conversation with autobiographical accounts by blind people, especially blind and visually impaired artists. It also gives a first-hand account of access programs at art institutions around the world, and speculates on how acceptance of the idea of blind artists and blind art lovers can change future museum practices and aesthetic values. The book is more of an extended, speculative essay than a scholarly treatment or how-to manual that seeks to show that what blindness brings to art is the recognition that there is more to it than meets the eye.
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Kleege, Georgina. Touch Tourism. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190604356.003.0005.

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The chapter begins with an account of a touch tour at New York’s Museum of Modern Art and goes on to describe similar programs elsewhere. These programs vary widely in terms of their understanding and expectations of blind perception. I will also discuss sites that require visitors to interact with architecture or landscape nonvisually. The “Cathedrals through Touch and Sound” program in England promotes recognition that appreciating architecture engages senses beyond sight. Similarly, a topiary reproduction of Georges Seurat’s “Sunday Afternoon on the Island of La Grande Jatte,” though not designed for blind visitors, gives a tactile and kinaesthetic understanding of the painting’s perspective and composition. Ultimately, the chapter calls on museum educators to find ways to collect the observations of blind visitors. Since everyone does not have the opportunity to touch the art, it makes sense to capture the insights of those who do in the interest of enlarging cultural knowledge.
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Loth, Chrismi-Rinda, and Theodorus du Plessis, eds. Recognition, Regulation, Revitalisation: Place Names and Indigenous Languages: Proceedings of the 5th International Symposium on Place Names 2019. SunBonani Conference, 2020. http://dx.doi.org/10.18820/9781928424697.

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Recognition, Regulation, Revitalisation: Place Names and Indigenous Languages is a selection of double-blind peer-reviewed papers from the 5th International Symposium on Place Names that took place 18-20 September 2020 in Clarens, South Africa. The symposium celebrated 2019 as the International Year of Indigenous Languages as declared by the United Nations. Some of the studies in this publication excavate lost or disappearing indigenous toponyms. Those researchers contribute in a very concrete way to the preservation of indigenous toponyms, and thereby also the associated cultural heritage. The other papers explore how place naming functions as a mechanism with which to create mental maps and exert socio-political power. These proceedings are the outcome of international collaboration between Southern African and international scholars. As such, it is a valuable resource to local as well as international scholars who are interested in the interdisciplinary field of toponomy.
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Publishing, sadbac. Thank You for the Fantastic Job You Do Every Day: Recognition Appreciation Gift- Lined Blank Notebook Journal , 6x9 Inches , 110 Blank Lined Pages. Independently Published, 2020.

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Golub, Mark. Defending White Rights. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190683603.003.0005.

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Chapter 5 analyzes how color-blind constitutionalism developed into a powerful rights-based defense of white political interests in the Supreme Court’s affirmative action and post-Brown voluntary school desegregation cases. Understood as a form of conservative judicial activism, color-blindness requires a strong recognition of white victims as a racial group, and so necessarily enacts the very racial consciousness it claims to reject. Taken to its logical conclusion, color-blindness renders the pursuit of racial equality itself constitutionally suspect, and not just the use of race-conscious remedies as a means for achieving it.
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Rocha, Roselandia Maria Serra Verde Coelho. Um estudo acerca da profissiografia e "identidades" de pessoas cegas: Vivências, desafios e acessibilidade. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-100-4.

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The aim of this book is to contribute to a greater visibility of spaces occupied by blind or visually impaired people in professional training and in the labor market. Therefore, the focus is on the issue of the multiple identities of those social actors and the connection between the challenge of identity recognition and professional training and practice.This finding came from observations at the Associação Baiana de Cegos (ABC), from 2015-2018, in Salvador-Bahia. This institution has been mobilizing with great effort, since 1985, in favor of the training, qualification and referral of blind people to the labor market. The research corpus is formed by a set of data collected through semi-directive interviews, with a narrative focus and observations of everyday life situations in the research locus. When discussing about the social actors as “human beings as projects of being”, I emphasized the issue of subjectivities linked to the processes of professional training and I highlighted the paradigmatic overcomes. In this context, I outlined the individual and collective advances and setbacks, which are still challenging aspects for the inclusion and, above all, for the permanence in the labor process. At last, I understand that it is at least challenging to think that, on one hand, there is a labor market going through an unemployment crisis and, on the other hand, there is the issue regarding the remaining spaces for blind people in such a scenario.
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Book chapters on the topic "Blink recognition"

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Yadav, Rajesh K., and K. M. Karthik. "Smart Door Unlocking Using Face Recognition and Blink Detection." In Communication Software and Networks, 261–70. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5397-4_28.

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Triantafyllopoulos, Dimitrios, and Vasileios Megalooikonomou. "Eye Blink Artifact Removal in EEG Using Tensor Decomposition." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 155–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44722-2_17.

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Radlak, Krystian, and Bogdan Smolka. "Blink Detection Based on the Weighted Gradient Descriptor." In Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 691–700. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00969-8_68.

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Zhang, Jianhai, Wenhao Huang, Shaokai Zhao, Yanyang Li, and Sanqing Hu. "Recognition of Voluntary Blink and Bite Base on Single Forehead EMG." In Neural Information Processing, 759–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70096-0_77.

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Shao, Wenze, Yunzhi Lin, Bingkun Bao, Liqian Wang, Qi Ge, and Haibo Li. "Blind Deblurring Using Discriminative Image Smoothing." In Pattern Recognition and Computer Vision, 490–500. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03398-9_42.

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Wu, Ziwei, Yao Lu, Gongping Li, Shunzhou Wang, Xuebo Wang, and Zijian Wang. "Blind Super-Resolution with Kernel-Aware Feature Refinement." In Pattern Recognition and Computer Vision, 65–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60633-6_6.

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Zhu, Shipeng, Guili Xu, Yuehua Cheng, Xiaodong Han, and Zhengsheng Wang. "BDGAN: Image Blind Denoising Using Generative Adversarial Networks." In Pattern Recognition and Computer Vision, 241–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31723-2_21.

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Oliveira, João P., Mário A. T. Figueiredo, and José M. Bioucas-Dias. "Blind Estimation of Motion Blur Parameters for Image Deconvolution." In Pattern Recognition and Image Analysis, 604–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72849-8_76.

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Nimisha, T. M., and A. N. Rajagopalan. "Blind Super-resolution of Faces for Surveillance." In Advances in Computer Vision and Pattern Recognition, 119–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74697-1_6.

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Maiti, Chinmay, and Bibhas Chandra Dhara. "Robust Non-blind Video Watermarking Using DWT and QR Decomposition." In Computational Intelligence in Pattern Recognition, 333–43. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9042-5_28.

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Conference papers on the topic "Blink recognition"

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Rupanagudi, Sudhir Rao, Vikas N S, Vivek C. Bharadwaj, Manju, Dhruva N, and Sowmya K. S. "Novel methodology for blink recognition using video oculography for communicating." In 2014 International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2014. http://dx.doi.org/10.1109/icaee.2014.6838442.

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Ganjoo, Romit, and Anjali Purohit. "Anti-Spoofing Door Lock Using Face Recognition and Blink Detection." In 2021 6th International Conference on Inventive Computation Technologies (ICICT). IEEE, 2021. http://dx.doi.org/10.1109/icict50816.2021.9358795.

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Banerjee, Anwesha, Monalisa Pal, D. N. Tibarewala, and Amit Konar. "Electrooculogram based blink detection to limit the risk of eye dystonia." In 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR). IEEE, 2015. http://dx.doi.org/10.1109/icapr.2015.7050712.

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Rupanagudi, Sudhir Rao, Varsha G. Bhat, B. S. Ranjani, S. Eshwari, S. Shreyas, M. N. Vishnu, Rahul Kumar Singh, Sukanya Singh, and B. M. Chandrashekar. "A further simplified algorithm for blink recognition using video oculography for communicating." In 2015 IEEE Bombay Section Symposium (IBSS). IEEE, 2015. http://dx.doi.org/10.1109/ibss.2015.7456643.

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Sanyal, Ritabrata, and Kunal Chakrabarty. "Two Stream Deep Convolutional Neural Network for Eye State Recognition and Blink Detection." In 2019 3rd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2019. http://dx.doi.org/10.1109/iementech48150.2019.8981102.

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Datta, Shreyasi, Anwesha Banerjee, Monalisa Pal, Amit Konar, D. N. Tibarewala, and R. Janarthanan. "Blink recognition to detect the possibility of eye dystonia based on electrooculogram analysis." In 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC). IEEE, 2014. http://dx.doi.org/10.1109/ciec.2014.6959075.

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Zheng, Yi, Shufang Zhou, Qingchao Yue, Li Dong, and Peisi Zhong. "the principle and implementation of blink of an eye detection and recognition for Humanoid type prosthetic." In 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icmia-17.2017.117.

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"Blank page." In 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU). IEEE, 2015. http://dx.doi.org/10.1109/asru.2015.7404764.

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Zhong, Shan, and Zhenkang Shen. "Blind deconvolution of infrared image." In Multispectral Image Processing and Pattern Recognition, edited by Qingxi Tong, Yaoting Zhu, and Zhenfu Zhu. SPIE, 2001. http://dx.doi.org/10.1117/12.441419.

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Li, Wenbo, Longyin Wen, Mooi Choo Chuah, and Siwei Lyu. "Category-Blind Human Action Recognition: A Practical Recognition System." In 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, 2015. http://dx.doi.org/10.1109/iccv.2015.505.

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Reports on the topic "Blink recognition"

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Hoffman, Jeffrey. Using Blind Source Separation and a Compact Microphone Array to Improve the Error Rate of Speech Recognition. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5258.

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