Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control

淡江大學機構典藏 > 全球發展學院 > 資訊創新與科技學系 > 期刊論文 > Item 987654321/119340

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/119340

題名:	Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control
作者:	Hakim, Noorkholis Luthfil;Shi, Timothy K.;Hui, Lin
關鍵詞:	Finger detection;Finger tracking;Humancomputer Interaction;Finite State Machine
日期:	2020-07
上傳時間:	2020-10-07 12:10:25 (UTC+8)
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.
關聯:	Journal of Internet Technology 21(4), p.1087-1096
顯示於類別:	[資訊創新與科技學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
Enhanced Appearance-based Finger Detection and Tracking Using Finite State Machine Control.pdf		15976Kb	Adobe PDF	2	檢視/開啟
index.html		0Kb	HTML	240	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章