IC4Windows-Hand Gesture for Controlling MS Windows

Wisnu Aditya, Noorkholis Luthfil Hakim, Timothy K. Shih, Avirmed Enkhbat, Tipajin Thaipisutikul

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

IC4Windows (Intelligent Companion for Windows) provides a natural Human computer interaction through hand gesture to avoid direct contact with computer device. The hand gestures trigger a windows command that usually used by a user when they use MS windows system. Some gesture has a different purpose depending on the application being operated by the user. The proposed system using external depth camera to capture the frame as an input. The depth data is used to remove unnecessary inputs such as background, face, etc., so that our input is more specific to help get a high accuracy. The gestures are consists of two type, first is static gesture and second is dynamic gestures. These two types of gestures have a different characteristic, the static gestures use each single frame as an input while the dynamic gestures require a sequence of frame as an input. We use a different method to handle each type of gestures, CNN is used for static gestures and 3DCNN is used for dynamic gestures. The proposed method provides a recognition rate of up to 92% and average speed is up to 30 FPS

原文???core.languages.en_GB???
主出版物標題InCIT 2020 - 5th International Conference on Information Technology
發行者Institute of Electrical and Electronics Engineers Inc.
頁面310-314
頁數5
ISBN(電子)9781728166940
DOIs
出版狀態已出版 - 21 10月 2020
事件5th International Conference on Information Technology, InCIT 2020 - Chon Buri, Thailand
持續時間: 21 10月 202022 10月 2020

出版系列

名字InCIT 2020 - 5th International Conference on Information Technology

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???event.eventtypes.event.conference???5th International Conference on Information Technology, InCIT 2020
國家/地區Thailand
城市Chon Buri
期間21/10/2022/10/20

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