Design of a low-false-positive gesture for awearable device

Ryo Kawahata, Atsushi Shimada, Takayoshi Yamashita, Hideaki Uchiyama, Rin Ichiro Taniguchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 被引用数 (Scopus)

抄録

As smartwatches are becoming more widely used in society, gesture recognition, as an important aspect of interaction with smartwatches, is attracting attention. An accelerometer that is incorporated in a device is often used to recognize gestures. However, a gesture is often detected falsely when a similar pattern of action occurs in daily life. In this paper, we present a novel method of designing a new gesture that reduces false detection. We refer to such a gesture as a low-false-positive (LFP) gesture. The proposed method enables a gesture design system to suggest LFP motion gestures automatically. The user of the system can design LFP gestures more easily and quickly than what has been possible in previous work. Our method combines primitive gestures to create an LFP gesture. The combination of primitive gestures is recognized quickly and accurately by a random forest algorithm using our method. We experimentally demonstrate the good recognition performance of our method for a designed gesture with a high recognition rate and without false detection.

本文言語英語
ホスト出版物のタイトルICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
編集者Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
出版社SciTePress
ページ581-588
ページ数8
ISBN(電子版)9789897581731
DOI
出版ステータス出版済み - 2016
イベント5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016 - Rome, イタリア
継続期間: 2 24 20162 26 2016

出版物シリーズ

名前ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods

その他

その他5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016
国/地域イタリア
CityRome
Period2/24/162/26/16

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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