Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control
學年 108
學期 2
出版（發表）日期 2020-07-01
作品名稱 Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control
作品名稱（其他語言）
著者 Noorkholis Luthfil Hakim; Timothy K. Shi; Lin Hui
單位
出版者
著錄名稱、卷期、頁數 Journal of Internet Technology 21(4), p.1087-1096
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 repeating-finite 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.
關鍵字 Finger detection;Finger tracking;Humancomputer Interaction;Finite State Machine
語言 en
ISSN 1607-9264
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版,紙本
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119340 )

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