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Development of physical activity evaluation method using wearable device by voice input

Research Project

Project/Area Number 17K01800
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Applied health science
Research InstitutionNihon University

Principal Investigator

NAMBA Hideyuki  日本大学, 理工学部, 准教授 (80559790)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywords身体活動 / 音声認識 / 行動記録 / スマートフォン / 加速度計 / METs / 深層学習 / ICT / 音声入力
Outline of Final Research Achievements

The use of Web-based physical activity systems has been proposed as an easy method for collecting physical activity data.Objective of this study was to develop a behavior-recording application (APP) using voice recognition. The results from our developed APP were compared with objective data from a 3-axis accelerometer to assess the strengths and weaknesses of the new measurement system. A total of 20 participants (14 men, 6 women, 19.1 (SD 0.9) years of age) wore a 3-axis accelerometer and inputted behavioral data into their smartphones for a period of 7 days. The measure of intensity was metabolic equivalents (METs). The Pearson correlations for the METs between the two methods were all positive and significant when the analysis was for over 10 hours, r = 0.545 (P =.017), and for over 14 hours with voice input, r = 0.750 (P =.008). Voice recognition APP appear to be useful for assessing physical activity with high accuracy. However, voice input compliance is an important factor.

Academic Significance and Societal Importance of the Research Achievements

開発したスマートフォンを用いた音声入力による行動記録法は,多人数の身体活動を簡便に精度よく評価することができるため,疫学研究などに応用できる可能性がある.さらに,自身の身体活動量を加速度計など高価な機器を用いなくても評価できるため,身体不活動が原因となる疾患の予防や健康づくりに役立てられる可能性がある.精度よく評価するためには,正しく入力をすることが重要であることが研究結果より示された.

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (17 results)

All 2019 2018 2017 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (11 results) (of which Int'l Joint Research: 3 results,  Invited: 1 results) Remarks (5 results)

  • [Journal Article] 大学初年次における体力特性と月齢の関係 -スマートフォンを用いた入力システムの活用-2019

    • Author(s)
      難波秀行
    • Journal Title

      日本大学理工学部一般教育教室彙報

      Volume: 107 Pages: 11-20

    • NAID

      40022057798

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Presentation] 音声認識アプリケーションを用いた身体活動評価システムの試作2019

    • Author(s)
      難波秀行
    • Organizer
      第74回日本体力医学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Validation of Smartphone APP Voice Recognition Physical Activity Systems using Tri-axial Accelerometer2019

    • Author(s)
      Hideyuki Namba
    • Organizer
      European College of Sport Science
    • Related Report
      2019 Annual Research Report
  • [Presentation] Validation of Smartphone APP Voice Recognition Physical Activity Systems using Tri-axial Accelerometer2019

    • Author(s)
      Hideyuki Namba
    • Organizer
      European College of Sport Science 2019
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Comparison of objective and subjective physical activity data for physical activity promotion2018

    • Author(s)
      Hideyuki Namba
    • Organizer
      7th International Society for Physical Activity and Health Congress
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 理工系一般学生を対象とした学生スポーツの推進に関する意識調査2018

    • Author(s)
      難波秀行
    • Organizer
      第3回 するみるささえるスポーツ教育研究会
    • Related Report
      2018 Research-status Report
  • [Presentation] 有酸素性運動と筋トレ後の感情変化とカテコラミン分泌の関係2018

    • Author(s)
      難波秀行 ,長谷川由美,永田真弓,櫻井洋一
    • Organizer
      第73回 日本体力医学会
    • Related Report
      2018 Research-status Report
  • [Presentation] Educational Practice Using Physical Activity Application Based on Behavior Record2018

    • Author(s)
      Hideyuki Namba
    • Organizer
      2018Hawaii International Conference on Education
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 音声認識デジタルペンを用いた体育実技授業における実践応用2018

    • Author(s)
      難波秀行,高橋亮輔,北村勝朗
    • Organizer
      第6回大学体育研究フォーラム
    • Related Report
      2017 Research-status Report
  • [Presentation] ICTを用いた身体活動測定の可能性(ICTを健康支援に活かす!)2018

    • Author(s)
      難波秀行
    • Organizer
      第19回日本健康支援学会
    • Related Report
      2017 Research-status Report
    • Invited
  • [Presentation] 身体活動記録アプリの活用2017

    • Author(s)
      難波秀行
    • Organizer
      第一回するみるささえるスポーツ教育研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] 一過性の有酸素性運動と筋力トレーニングによる感情およびホルモンの変動2017

    • Author(s)
      難波秀行,長谷川由美,永田真弓,櫻井洋一
    • Organizer
      第72回日本体力医学会
    • Related Report
      2017 Research-status Report
  • [Remarks] 音声認識身体活動測定システム

    • URL

      https://apps.apple.com/ag/app/actra/id1408664814

    • Related Report
      2019 Annual Research Report
  • [Remarks] ACTRA

    • URL

      https://itunes.apple.com/jp/app/actra/id1408664814?mt=8

    • Related Report
      2018 Research-status Report
  • [Remarks] Lifestyle24 身体活動測定システム

    • URL

      http://lifestyle24.jp/hp/

    • Related Report
      2017 Research-status Report
  • [Remarks] Lifestyle24

    • URL

      https://itunes.apple.com/jp/app/lifestyle24/id1242812012?mt=8

    • Related Report
      2017 Research-status Report
  • [Remarks] Lifestyle24

    • URL

      https://play.google.com/store/apps/details?id=jp.lifestyle.yonefu

    • Related Report
      2017 Research-status Report

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Published: 2017-04-28   Modified: 2021-02-19  

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