Putting Together First- and Third-Person Approaches for Sport Activity Analysis: The Case of Ultra-Trail Runners’ Performance Analysis

  • Denis Hauw
  • Nadège Rochat
  • Vincent Gesbert
  • Tiffany Astolfi
  • Roberta Antonini Philippe
  • Benoit Mariani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 496)

Abstract

This study aimed to characterize the activity of ultra-trail runners by combining data from their personal experiences with physical measurement indicators of their running performance. Ten runners’ first-person analyses of the Tor des Geants race were processed using course of action theory [1]. Runners’ experiences were represented in a succession of macrosequences and characterized using their typical components. These were associated with third-person data about their elevation velocities assessed using motion sensors. Results showed different patterns of activity related to runners’ aims and levels of performance. Three typical experiences were highlighted as frequently observed in such races and showed a strong association with overall elevation velocities. A fourth typical experience, one that followed a difficult race situation, presented finer-grained sensitivity that distinguished variations between ascent and descent velocities. Results were analyzed in relation to the sense-making process associated with routine or controlled activity.

Keywords

Agentive experience Enaction Awareness Course of action Sense-making Ultra-trail Velocity Time 

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Denis Hauw
    • 1
  • Nadège Rochat
    • 1
  • Vincent Gesbert
    • 1
  • Tiffany Astolfi
    • 1
  • Roberta Antonini Philippe
    • 1
  • Benoit Mariani
    • 2
  1. 1.Institute of Sport Sciences of the University of LausanneLausanneSwitzerland
  2. 2.Gait Up SAEPFL Innovation Park Bat. CLausanneSwitzerland

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