A Light-weight Hand-waving Gesture Recognition Method Using Kinect V2 and Frequency Analysis

Yuki Misaki, Yutaka Hiroi, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a light-weight method for hand-waving gesture detection. Gesture recognition is actively researched as a user interface of robots. Conventional gesture recognition methods need to employ complicated pattern matching algorithms, such as DTW, HMM, and DNN, which require a powerful computing platform such as fast CPU or GPU that consumes much energy. We propose a gesture recognition/detection method specially designed for the recognition of hand-waving gesture. This method uses Kinect V2 as the sensor and detects the waving gesture using only a simple signal processing. The recognition experiment suggested that the proposed method gave sufficiently high accuracy, and the processing speed was much faster than real-time.

Original languageEnglish
Title of host publication2021 IEEE/SICE International Symposium on System Integration, SII 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages750-755
Number of pages6
ISBN (Electronic)9781728176581
DOIs
Publication statusPublished - 2021 Jan 11
Externally publishedYes
Event2021 IEEE/SICE International Symposium on System Integration, SII 2021 - Virtual, Iwaki, Fukushima, Japan
Duration: 2021 Jan 112021 Jan 14

Publication series

Name2021 IEEE/SICE International Symposium on System Integration, SII 2021

Conference

Conference2021 IEEE/SICE International Symposium on System Integration, SII 2021
Country/TerritoryJapan
CityVirtual, Iwaki, Fukushima
Period21/1/1121/1/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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