Abstract

Abstract In view of therapeutic applications, climbing motion analysis has gained increased importance to avoid movements that are prone to cause injuries and to motivate the climber by means of gamification. To date, there remains need to investigate analysis methods for feedback generation that do not require body contact and that can be easily integrated in the climbing setup. Therefore, this study proposes an camera-based approach for contact-less motion analysis that localises the climber’s centre of mass (COM) and derives relevant parameters, such as fluency, force and distance to the wall, from the temporal COM analysis.

Highlights

  • Bouldering and climbing are increasingly attracting interest across all age groups and have become trend sports all over the world

  • Previous studies have demonstrated that the centre of mass (COM) is a representative measure for analysing climbing movements [5, 14, 15]

  • It could be demonstrated that parameters, such as fluency, force and COM distance to the wall can be derived from the COM and that they are relevant for motion evaluation [5, 15]

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Summary

Introduction

Bouldering and climbing are increasingly attracting interest across all age groups and have become trend sports all over the world. Force torque sensors and capacitive sensors were employed to analyse the interaction with holds on the climbing wall, but they have the disadvantage that they have to be integrated into the wall setup, see [1, 9,10,11,12,13] Other solutions, such as wearables, attached markers or commercial motion capture systems, e.g. employed by [3,4,5,6,7], require body contact, which is inconvenient for the climber and prone to injuries. Our approach comprises to capture the COM by means of a commercial depth camera and to calculate fluency, force and hip distance to the wall by means of measures derived from the COM, which are entropy, acceleration and the distance of the COM from the calculated plane defining the wall

Experimental setup and sensor data
Results and discussion
Conclusions
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