Runalyser : real time analysis of running technique in practice (P196)

Saved in:
Bibliographic Details
Title translated into German:Runalyser : Die Echtzeitanalyse von Lauftechniken in der Praxis
Author:Wijnen, M.; Hoppenbrouwers, M.B.; Willems, J.W.M.
Published in:The engineering of sport 7. Volume 2: 7th International Conference on the Engineering of Sport : Paris 2008
Published:Paris: Springer (Verlag), 2008, S. 289-295, Lit.
Research institution:International Sports Engineering Association
Format: Publications (Database SPOLIT)
Publication Type: Compilation article
Media type: Print resource
Language:English
Keywords:
Online Access:
Identification number:PU201104003147
Source:BISp

Abstract

Measurement systems are becoming more and more common in the training practice of athletes. In the lab, many parameters can be measured. On the track or on the road however, the technology is currently limited to measurement of heart rate, GPS position, and speed and distance based on acceleration measurement. These systems all focus on performance rather than technique. Running economy - the efficiency of the runner’s movements - is largely determined by technique. So measurement of technique related parameters in the runner’s natural environment would be a huge step forward, enabling athletes and coaches to work towards better running economy and thus also performance. In this paper a working prototype of a system is shown that has been developed to measure both technique and performance related parameters for runners during actual field training and races. The system measures various parameters: feet roll off using a foot pressure sensor, GPS speed and distance, core temperature and heart rate. The feet pressure data is used to determine ground contact time, heel off time, pace frequency, gait line, and pressure distribution during roll-off. The sensors transmit their data to a central computing unit, worn at the runner’s back. This unit combines the data streams and sends them on to a host computer via a wireless internet link. The host computer runs data analysis software and presents the results on the internet. The system has been tested successfully during the Eindhoeven half marathon on October 14th 2007. Analysis of data shows an early and gradual increase of contact times and heel-off times which is probably related to early fatigue in (biarticular) leg muscles due to a too fast start of the runner. Future versions of the system will aim to decrease the size of the system, refine the data interpretation and incorporate new sensors such as EMG measurement. Verf.-Referat