Application of Deep Learning to Develop a Safety Confirmation System for the Elderly in a Nursing Home

• Kawakami Masaru

  School of Nursing, Jichi Medical University

• Toba Shogo

  Graduate School of Engineering, Utsunomiya University

• Fukuda Kohei

  Graduate School of Engineering, Utsunomiya University

• Hori Shinya

  Graduate School of Engineering, Utsunomiya University

• Abe Yuki

  Graduate School of Engineering, Utsunomiya University

• Ozaki Koichi

  Faculty of Engineering, Utsunomiya University

抄録

Fall accident prevention is one of the most important issues in elderly care settings. To prevent an accident, it is necessary to notify caregivers if the elderly person is getting out of bed. We have previously developed a posture discrimination system based on body motions. Herein, we propose a discrimination method by using machine learning to improve the performance of the system. A purpose of this study is to evaluate the proposed method. Elderly people in a nursing home were chosen as subjects in this study. We analyzed the body motion data during bed rest and bed exit of the subjects using the proposed method. These results suggest that it is effective.

収録刊行物

• Journal of Robotics and Mechatronics

  Journal of Robotics and Mechatronics 29 (2), 338-345, 2017-04-20

  富士技術出版株式会社

キーワード

• deep learning
• non-contact monitoring system
• posture discrimination
• elderly in nursing home

詳細情報

• CRID: 1390564238047143168
• NII論文ID: 130007519844
• NII書誌ID: AA10809998
• DOI: 10.20965/jrm.2017.p0338
• ISSN: 18838049
• ISSN: 09153942
• NDL書誌ID: 028108437
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028108437
• Web Site: https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=ROBOT002900020007
• 本文言語コード: en
• データソース種別:
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  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可