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

Yuki Misaki, Yutaka Hiroi, Akinori Ito

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2021 IEEE/SICE International Symposium on System Integration, SII 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ750-755
ページ数6
ISBN(電子版)9781728176581
DOI
出版ステータスPublished - 2021 1 11
イベント2021 IEEE/SICE International Symposium on System Integration, SII 2021 - Virtual, Iwaki, Fukushima, Japan
継続期間: 2021 1 112021 1 14

出版物シリーズ

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

Conference

Conference2021 IEEE/SICE International Symposium on System Integration, SII 2021
国/地域Japan
CityVirtual, Iwaki, Fukushima
Period21/1/1121/1/14

ASJC Scopus subject areas

  • 人工知能
  • 情報システム
  • 情報システムおよび情報管理
  • 制御およびシステム工学
  • 産業および生産工学
  • 機械工学

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