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篇名 |
Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control
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並列篇名 | Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control |
作者 | Noorkholis Luthfil Hakim、Timothy K. Shih、Lin Hui |
英文摘要 | Real-time finger detection and tracking systems have been growing rapidly in the past decade. Among those methods, Appearance-based and Model-based methods have produced excellent results. However, the occlusion issue is one of the main challenges in this field. In this study, we address this issue by considering the repeatingfinite gestures of a guitar-strumming or a hand puppet and, represent using a Finite State Machine model. Also we proposed a novel finger pose tracking system using FSM Model combining with the appearance-based method.. The proposed system consists of two parts: FSM-FT builder creates the FSM hand, and the FSM-FT runner controls the FSM-FT system. Empirically, we conducted an experimental study involving one sample repeating hand gesture and our approach achieved a significance recognition rate of 82% in the testing phase. |
起訖頁 | 1087-1096 |
關鍵詞 | Finger detection、Finger tracking、Human-computer Interaction、Finite State Machine |
刊名 | 網際網路技術學刊 |
期數 | 202007 (21:4期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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