Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/42
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dc.contributor.authorAO, CHI HONG (歐志雄)-
dc.date.accessioned2014-10-13T02:37:58Z-
dc.date.available2014-10-13T02:37:58Z-
dc.date.issued2014-
dc.identifier.citationAO, C. H. (2014). iFinger – Study of Gesture Recognition Technologies & Its Applications (Volume I of II) (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.en_US
dc.identifier.urihttp://hdl.handle.net/10692.1/42-
dc.description.abstractBecause of the development of Human–computer interaction (HCI), the method of interaction with the computer is becoming more and more freedom, which seek to use the human body to control computer naturally. However, the more natural action will introduce more ambiguity and require a more sensitive system. Therefore, we develop a system which can extract the hand features from images using a common digital camera. So that we can calculate the human hands shape, motion, moving direction, moving speed, etc. In addition, we added some anit-shaking algorithm to stable the result. Hence, it can control computer to do some tasks only with human hands and show the result in real time. We are adding some optimization and smoothing algorithms into the system in order to increase stability and sensitivity. Hence, users can interact with computer more intuitionally and directly.en_US
dc.language.isoenen_US
dc.titleiFinger – Study of Gesture Recognition Technologies & Its Applications (Volume I of II)en_US
dc.typeOAPSen_US
dc.contributor.departmentDepartment of Computer and Information Scienceen_US
dc.description.instructorDr. WONG, FAIen_US
dc.description.instructorDr. CHAO, SAMen_US
dc.contributor.facultyFaculty of Science and Technologyen_US
dc.description.programmeBachelor of Science in Software Engineeringen_US
Appears in Collections:FST OAPS 2014

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