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Title: iFinger – Study of Gesture Recognition Technologies & Its Applications (Volume I of II)
Authors: AO, CHI HONG (歐志雄)
Department: Department of Computer and Information Science
Faculty: Faculty of Science and Technology
Issue Date: 2014
Citation: AO, 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.
Abstract: Because 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.
Instructor: Dr. WONG, FAI
Programme: Bachelor of Science in Software Engineering
Appears in Collections:FST OAPS 2014

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