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pro vyhledávání: '"Dung Hua"'
Autor:
Beatrice Zovich, Suzanne J. Block, Fiona Borondy-Jenkins, Kate Moraras, Thomas Chen, Rukayat Adedokun, Dung Hua, Chari Cohen
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionAsian and Pacific Islander (API), African, and Caribbean immigrant groups in the U.S. are disproportionately impacted by chronic hepatitis B and hepatocellular carcinoma (primary liver cancer). Creating educational communication campaigns
Externí odkaz:
https://doaj.org/article/274b075ef6004b55867d4d15c31e09ad
Publikováno v:
2017 4th NAFOSTED Conference on Information and Computer Science.
In data mining, link prediction for the networks is one of the areas of greatest interest today. Research achievements of link prediction problem can be applied in many fields such as study genetically transferred diseases, online marketing, e-commer
Autor:
Dung-Hua Liou, Chen-Chiung Hsieh
Publikováno v:
Journal of Real-Time Image Processing. 10:357-370
Due to the effect of lighting and complex background, most visual hand gesture recognition systems work only under restricted environments. Here, we propose a robust system which consists of three modules: digital zoom, adaptive skin detection, and h
Publikováno v:
SPIE Proceedings.
Man machine interface by video analysis becomes popular recently. The most frequently adopted body parts for computer interaction are face and hands. Therefore, it is a very important topic to accurately extract face and hand regions from a sequence
Publikováno v:
2010 International Conference on System Science and Engineering.
A real time V shape hand gesture recognition system by motion history template matching is proposed in this paper. Initially, user moves one of his/her hands in a specified region for template setup. Then, possible moving hand regions can be extracte
Publikováno v:
2010 2nd International Conference on Signal Processing Systems.
Hand gesture recognition based man-machine interface is being developed vigorously in recent years. Due to the effect of lighting and complex background, most visual hand gesture recognition systems work only under restricted environment. An adaptive
Akademický článek
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Publikováno v:
2010 2nd International Conference on Signal Processing Systems (ICSPS); 2010, pV2-V398, 790p
Conference
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