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Kategoria:

Aktywność konferencyjna

Typ:

materiały konferencyjne indeksowane w Web of Science

Tytuł wydania:

Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE strony 1 - 4

ISSN:

1558-4615

Język:

angielski

Rok wydania:

2017

Opis bibliograficzny:

Kwaśniewska A., Rumiński J., Wtorek J..: The motion influence on respiration rate estimation from low-resolution thermal sequences during attention focusing tasks, W: Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, 2017, ,.

DOI:

Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/embc.2017.8037100

Bibliografia: test

1. Moody's Investors Service, "Population Aging Will Dampen Economic Growth over the Next Two Decades", Global Credit Research -06 Aug 2014, [Accessed: 1/25/2017], Available: https://www.moodys.com/research/Moodys-Aging-will-reduce- economic-growth-worldwide-in-the-next--PR_305951 otwiera się w nowej karcie
2. M. Bajorek and J. Nowak, "The role of a mobile device in a home monitoring healthcare system," 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), Szczecin, 2011, pp. 371-374.
3. M. Kaczmarek, J. Ruminski and A. Bujnowski, "Multimodal platform for continuous monitoring of elderly and disabled," 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), Szczecin, 2011, pp. 393-400. otwiera się w nowej karcie
4. M. Popescu, E. Florea, "Linking Clinical Events in Elderly to In-home Monitoring Sensor Data: A Brief Review and a Pilot Study on Predicting Pulse Pressure", Journal of Computing Science and Engineering, Vol. 2, No. 1, March 2008, Pages 180-199 otwiera się w nowej karcie
5. H. Nejati, V. Pomponiu, T. T. Do, Y. Zhou, S. Iravani and N. M. Cheung, "Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms," in IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 30-48, July 2016. otwiera się w nowej karcie
6. J. Rumiński, "Analysis of the parameters of respiration patterns extracted from thermal image sequences", Biocybernetics and Biomedical Engineering Journal, Volume 36, Issue 4, 2016, Pages 731-741 otwiera się w nowej karcie
7. A. Kwasniewska and J. Ruminski, "Real-time facial feature tracking in poor quality thermal imagery," 2016 9th International Conference on Human System Interactions (HSI), Portsmouth, 2016, pp. 504-510. doi: 10.1109/HSI.2016.7529681 otwiera się w nowej karcie
8. B. Lei, R. K. Gunnewiek and P. H. N. De With, "Reuse of Motion Processing for Camera Stabilization and Video Coding," 2006 IEEE International Conference on Multimedia and Expo, Toronto, Ont., 2006, pp. 597-600. otwiera się w nowej karcie
9. M. Nicolas, J. Roussel and F. Crete, "Metrics to Evaluate The Quality of Motion Compensation Systems in De-interlacing And Up- conversion Applications," 2008 Digest of Technical Papers - International Conference on Consumer Electronics, Las Vegas, NV, 2008, pp. 1-2. otwiera się w nowej karcie
10. T. Schlogl, C. Beleznai, M. Winter and H. Bischof, "Performance evaluation metrics for motion detection and tracking," Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 2004, pp. 519-522 Vol.4. otwiera się w nowej karcie
11. A. Briassouli, V. Mezaris and I. Kompatsiaris, "Joint Motion and Color Statistical Video Processing for Motion Segmentation," 2007 IEEE International Conference on Multimedia and Expo, Beijing, 2007, pp. 2014-2017. otwiera się w nowej karcie
12. S. Hong and E. Atkins, "Moving Sensor Video Image Processing Enhanced with Elimination of Ego Motion by Global Registration and SIFT," 2008 20th IEEE International Conference on Tools with Artificial Intelligence, Dayton, OH, 2008, pp. 37-40. otwiera się w nowej karcie
13. R. Gaetano and B. Pesquet-Popescu, "OpenCL implementation of motion estimation for cloud video processing," 2011 IEEE 13th International Workshop on Multimedia Signal Processing, Hangzhou, 2011, pp. 1-6. otwiera się w nowej karcie
14. J. Ruminski, A. Kwasniewska, "Evaluation of respiration rate using thermal imaging in mobile conditions", chapter in monography, Ng, E. Y. K., EtehadTavakol, M., (ed.), Application of Infrared to Biomedical Sciences, Springer 2017, in press otwiera się w nowej karcie
15. R. Murthy and I. Pavlidis, "Non-contact monitoring of breathing function using infrared imaging" Department of Computer Science University of Houston, TX, 77204, USA http://www.cs.uh.edu Technical Report Number UH-CS-05-09 April 09, 2005
16. J.Fei, Z. Zhu, I. Pavlidis, "Imaging Breathing Rate in the CO2 Absorption Band", Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005
17. J. Joskowicz and J. C. L. Ardao, "A parametric model for perceptual video quality estimation" Telecommun. Syst., vol. 46, p. 14, 2010 otwiera się w nowej karcie
18. A. Kwasniewska, J. Ruminski, "Face detection in image sequences using a portable thermal camera", Proc. Of the 13th Quantitative Infrared Thermography Conference, Gdansk 2016. otwiera się w nowej karcie

więcej (18) mniej

Weryfikacja:

Politechnika Gdańska