Research & Development World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE

System Improves Individual Running Skills Based on Big Data Analysis

By R&D Editors | November 10, 2015

A technology called “skill grouping” was developed to assisting runners in improving their skills by displaying the effects of the movements in easy-to-understand scores.Running is one of the most popular sports. However, not many runners have received formal training on running. Associate Professor Shinichi Yamagiwa of the University of Tsukuba and his colleagues have developed a system for improving running skills based on big data analysis.

Dr. Yamagiwa, Associate Professor Yoshinobu Kawahara of Osaka University and Mizuno have jointly developed a technology that instructs the ideal running motions based on “big data of motions” collected by monitoring motions during running via sensors and videos.

The research team analyzed the running motion data of about 2,000 runners by using an artificial intelligence technique and expressed the results in numerical skill values. They discovered that the movements of the elbows, knees and ankles differed between high-rank marathon runners and beginners. Based on the findings, a technology called “skill grouping” was developed to assisting runners in improving their skills by displaying the effects of the movements in easy-to-understand scores.

Skill grouping can also be used for time-sequential healthcare and motor capacity control, such as during conditioning and rehabilitation. As it converts movements into objective values, it will enable information devices that have been difficult to generalize to be developed and is, thus, expected to lead to development of healthcare tools in the era of the Internet of Things, such as mobile-phone applications.

Another possible application of skill grouping is to assist transmission of traditional performance arts and design skills. Skill grouping is expected to realize a new system of artificial intelligence supporting “transmission of traditional skills” for globally urgent issues.

Citation: Shinichi Yamagiwa, Yoshinobu Kawahara, Noriyuki Tabuchi, Yoshinobu Watanabe, Takeshi Naruo, Skill Grouping Method: Mining and Clustering Skill Differences from Body Movement BigData, Proceeding of International conference on BigData 2015, IEEE (October 29-November 1, 2015 •Santa Clara, CA, USA)

Related Articles Read More >

Why IBM predicts quantum advantage within two years
Aardvark AI forecasts rival supercomputer simulations while using over 99.9% less compute
This week in AI research: Latest Insilico Medicine drug enters the clinic, a $0.55/M token model R1 rivals OpenAI’s $60 flagship, and more
How the startup ALAFIA Supercomputers is deploying on-prem AI for medical research and clinical care
rd newsletter
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, trends, and strategies in Research & Development.
RD 25 Power Index

R&D World Digital Issues

Fall 2024 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R&D magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • Global Funding Forecast

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE