An intelligent system for motor style assessment and training from inertial sensor data in intermediate level Ski jumping

Heike Brock, Yuji Ohgi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this research we developed a wearable, augmented motion feedback system for ubiquitous training and motion assessment in mid-level ski jumping. Ski jump motion data captured with a set of inertial sensors were first transformed into meaningful kinematic motion information using an extensive processing system. Next, derived segment orientations, joint positions and joint angles were used to build and train motion knowledge on the base of the sport's common style and judging criteria. This intelligent machine knowledge was then applied to identify specific style information within incoming motion data that could be provided to the athlete as augmented motion feedback via a mobile training application. System validations on a set of test jumping data showed that style errors could be recognized and displayed well by the implemented system. We therefore believe the system to be suitable for the provision of kinematic motion feedback that could not be obtained without an extensive training support environment otherwise. Adding a real-time environment for athletesystem communication, this could lead to the creation of an ubiquitous training support application in future.

Original languageEnglish
Title of host publicationicSPORTS 2016 - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support
PublisherSciTePress
Pages101-108
Number of pages8
ISBN (Electronic)9789897582059
Publication statusPublished - 2016
Event4th International Congress on Sport Sciences Research and Technology Support, icSPORTS 2016 - Porto, Portugal
Duration: 2016 Nov 72016 Nov 9

Other

Other4th International Congress on Sport Sciences Research and Technology Support, icSPORTS 2016
CountryPortugal
CityPorto
Period16/11/716/11/9

Keywords

  • Activity recognition
  • Augmented motion feedback
  • Inertial sensors
  • Mobile motor training
  • Motion analysis
  • Ski jumping

ASJC Scopus subject areas

  • Software
  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Computer Science Applications

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  • Cite this

    Brock, H., & Ohgi, Y. (2016). An intelligent system for motor style assessment and training from inertial sensor data in intermediate level Ski jumping. In icSPORTS 2016 - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (pp. 101-108). SciTePress.