Wearable air-writing recognition system employing dynamic time warping

研究成果: Conference contribution

抄録

Gesture recognition has been a popular research field under the trend of IoT and intelligent devices. Air-writing is the most challenging and crucial topic in the gesture recognition field. In this paper, we propose a wearable air-writing system that makes users can write the English alphabet in the three-dimensional space without any write rules. The proposed system is based on the Inertial Measurement Unit (IMU), and it uses dynamic time warping (DTW) as the main recognition algorithm. In addition, to improve the recognition accuracy and take a better advantage of the DTW algorithm, we present an adjustment system that gives some new optimization methods to the application of IMU and DTW. In the experiment, the accuracy of recognition is 84.6% for the uppercase alphabet (from 'A' to 'Z') in user-dependent case. And we also confirmed that the recognition method only based on the DTW algorithm is one kind of user-dependent methods, which means this method is heavily dependent on personalization.

本文言語English
ホスト出版物のタイトル2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728197944
DOI
出版ステータスPublished - 2021 1 9
イベント18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021 - Virtual, Las Vegas, United States
継続期間: 2021 1 92021 1 13

出版物シリーズ

名前2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021

Conference

Conference18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021
国/地域United States
CityVirtual, Las Vegas
Period21/1/921/1/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Wearable air-writing recognition system employing dynamic time warping」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル