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Research on Projection Interaction Based on Gesture Recognition

  • Zhiwei Cao
  • , Weiping He
  • , Shuxia Wang
  • , Jie Zhang
  • , Bingzhao Wei
  • , Jianghong Li
  • Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

With the continuous emergence and vigorous development of various new technologies in the information age, human-computer interaction is also changing constantly. People are increasingly connected with the virtual world, so it is necessary to study more natural ways of human-computer interaction. Projection interaction is one of the most important interaction methods. The purpose of this paper is to study how to overcome the misoperation problem caused by foreign objects (interferers) in the environment of projection interaction (Fig. 1 c). The method (named after FDGR) adopted is to use the fingertip detection algorithm based on user habits in image processing and the gesture recognition algorithm based on Leap Motion to complete the accurate and convenient natural human-computer interaction. Through user experiments, the experiences of completing the fixed assembly task in the mode of projection (P), gesture (G) and FDGR (PG) were compared, and the data was processed and analyzed. The experimental results showed that FDGR could effectively overcome the misoperation caused by foreign objects (interferers) and the non-intuitiveness of simple gestures, and effectively improved the user's operating experience.

Original languageEnglish
Title of host publicationHCI International 2021 - Late Breaking Posters - 23rd HCI International Conference, HCII 2021, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages311-317
Number of pages7
ISBN (Print)9783030901752
DOIs
StatePublished - 2021
Event23rd International Conference on Human-Computer Interaction, HCII 2021 - Virtual, Online
Duration: 24 Jul 202129 Jul 2021

Publication series

NameCommunications in Computer and Information Science
Volume1498 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference23rd International Conference on Human-Computer Interaction, HCII 2021
CityVirtual, Online
Period24/07/2129/07/21

Keywords

  • Gesture recognition
  • Picture processing
  • Projection interaction

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