Skeleton clustering by autonomous mobile robots for subtle fall risk discovery

Yutaka Deguchi, Einoshin Suzuki

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

4 被引用数 (Scopus)

抄録

In this paper, we propose two new instability features, a data pre-processing method, and a new evaluation method for skeleton clustering by autonomous mobile robots for subtle fall risk discovery. We had proposed an autonomous mobile robot which clusters skeletons of a monitored person for distinct fall risk discovery and achieved promising results. A more natural setting posed us problems such as ambiguities in class labels and low discrimination power of our original instability features between safe/unsafe skeletons. We validate our three new proposals through evaluation by experiments.

本文言語英語
ホスト出版物のタイトルFoundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Proceedings
出版社Springer Verlag
ページ500-505
ページ数6
ISBN(印刷版)9783319083254
DOI
出版ステータス出版済み - 1 1 2014
イベント21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014 - Roskilde, デンマーク
継続期間: 6 25 20146 27 2014

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8502 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014
Countryデンマーク
CityRoskilde
Period6/25/146/27/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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