Implementation of 3D Hand Gesture Recognition System using FPGA

Tsung Han Tsai, Yuan Chen Ho, Yih Ru Tsai

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

2 Scopus citations

Abstract

In this paper, a VLSI design with dual-camera to construct the depth map and recognize hand gestures was proposed. The proposed system adopts adaptive depth filter which can separate foreground to segment the interesting object under complicated environment. We also proposed dynamic gesture recognition by using depth and coordinate information. The system contains one static gesture and two dynamic gestures and has been implemented in FPGA and the average accuracy with each gesture is 83.98%.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2018, ISOCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages131-132
Number of pages2
ISBN (Electronic)9781538679609
DOIs
StatePublished - 22 Feb 2019
Event15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of
Duration: 12 Nov 201815 Nov 2018

Publication series

NameProceedings - International SoC Design Conference 2018, ISOCC 2018

Conference

Conference15th International SoC Design Conference, ISOCC 2018
Country/TerritoryKorea, Republic of
CityDaegu
Period12/11/1815/11/18

Keywords

  • FPGA
  • Hand gesture recognition
  • Object labeling
  • SAD matching
  • VLSI

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