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 | 245 | 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.
|