IC4Windows-Hand Gesture for Controlling MS Windows

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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

Original languageEnglish
Title of host publicationInCIT 2020 - 5th International Conference on Information Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages310-314
Number of pages5
ISBN (Electronic)9781728166940
DOIs
StatePublished - 21 Oct 2020
Event5th International Conference on Information Technology, InCIT 2020 - Chon Buri, Thailand
Duration: 21 Oct 202022 Oct 2020

Publication series

NameInCIT 2020 - 5th International Conference on Information Technology

Conference

Conference5th International Conference on Information Technology, InCIT 2020
Country/TerritoryThailand
CityChon Buri
Period21/10/2022/10/20

Keywords

  • Deep Learning
  • Dynamic Gesture Recognition
  • Human Computer Interaction
  • Static Gesture Recognition

Fingerprint

Dive into the research topics of 'IC4Windows-Hand Gesture for Controlling MS Windows'. Together they form a unique fingerprint.

Cite this