Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts

Hassan Ghasemzadeh, Roozbeh Jafari

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

10 Scopus citations

Abstract

Becoming proficient in a sport requires significant investment in training. Wearable sensor devices can improve training due to the high level of mobility, ubiquity and intelligent feedback offered. In this paper, we present a wearable platform that provides baseball players with corrective feedback based on multidimensional physiological data collected from a body sensor network. We attempt to generate motion transcripts, which simplify interpretation of complex movements. We then use transcripts to measure coordination among limb segments and joints of the body. The starting times of key events are found in the transcripts, and the coordination between these times is analyzed.

Original languageEnglish (US)
Title of host publication2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Pages792-795
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 - Mannheim, Germany
Duration: Mar 29 2010Apr 2 2010

Publication series

Name2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

Conference

Conference2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Country/TerritoryGermany
CityMannheim
Period3/29/104/2/10

Keywords

  • Body sensor networks
  • Coordination
  • Motion transcript
  • Sports training

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software
  • Theoretical Computer Science

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