Peter Federolf

Dr. Peter Federolf

Department of Sport Science, University of Innsbruck
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2013 in Journal of Biomechanics
Verified
Journal Article
Closed access
Peter FederolfPeter Federolf
Peter Federolf
KBK.A. Boyer
K.A. Boyer
TAT.P. Andriacchi
T.P. Andriacchi

1 April 2018 in Human Movement Science
Verified
Journal Article
Closed access
APArunee Promsri
Arunee Promsri
THThomas Haid
Thomas Haid
Peter FederolfPeter Federolf
Peter Federolf

1 June 2012 in Journal of Biomechanics
Verified
Journal Article
Closed access
BNBenno M. Nigg
Benno M. Nigg
JBJennifer Baltich
Jennifer Baltich
CMChristian Maurer-Grubinger
Christian Maurer-Grubinger
Peter FederolfPeter Federolf
Peter Federolf

22 March 2012 in Scandinavian Journal of Medicine & Science in Sports
Verified
Journal Article
Closed access
PDF file
Peter FederolfPeter Federolf
Peter Federolf
RRR. Reid
R. Reid
MGM. Gilgien
M. Gilgien
PHP. Haugen
P. Haugen
GSG. Smith
G. Smith

9 February 2017 in Journal of Sports Sciences
Verified
Journal Article
Open access
ØGØyvind Gløersen
Øyvind Gløersen
HMHåvard Myklebust
Håvard Myklebust
JHJostein Hallén
Jostein Hallén
Peter FederolfPeter Federolf
Peter Federolf
The aim of this study was to advance current movement analysis methodology to enable a technique analysis in sports facilitating (1) concurrent comparison of the techniques between several athletes; (2) identification of potentially beneficial technique modifications and (3) a visual representation of the findings for feedback to the athletes. Six elite cross-country skiers, three world cup winners and three national elite, roller ski skated using the V2 technique on a treadmill while their movement patterns were recorded using 41 reflective markers. A principal component analysis performed on the marker positions resulted in multi-segmental “principal” movement components (PMs). A novel normalisation facilitated comparability of the PMs between athletes. Additionally, centre of mass (COM) trajectories were modelled. We found correlations between the athletes’ performance levels (judged from race points) and specific features in the PMs and in the COM trajectories. Plausible links between COM trajectories and PMs were observed, suggesting that better performing skiers exhibited a different, possibly more efficient use of their body mass for propulsion. The analysis presented in the current study revealed specific technique features that appeared to relate to the skiers’ performance levels. How changing these features would affect an individual athlete’s technique was visualised with animated stick figures.