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Dynamic gesture recognition based on deep information feature fusion

  • Pan Ou
  • , Qingfeng Yu*
  • , Moran Chen
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalConference articlepeer-review

Abstract

Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.

Original languageEnglish
Article number052067
JournalJournal of Physics: Conference Series
Volume1345
Issue number5
DOIs
StatePublished - 28 Nov 2019
Event2nd International Conference on Computer Information Science and Application Technology, CISAT 2019 - Guangzhou, China
Duration: 30 Aug 20191 Sep 2019

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