Background Functional data analysis (FDA) is increasingly being used to better analyze,
model and predict time series data. Key aspects of FDA include the choice of smoothing …

The aim of this paper was to present a review on the role that movement variability (MV)
plays in the analysis of sports movement and in the monitoring of the athlete's skills. MV has …

This book provides an overview of human development and includes the relationship
between motor development and cognitive and social development. It explores factors …

Purpose Chronic Achilles tendon (AT) injuries are common, but kinematic studies confirming
the exact mechanisms of injury and how orthoses are effective are lacking. Existing analysis …

The purpose of the article is to outline a sociocultural way of exploring human movement.
Our ambition is to develop an analytical framework where moving humans are explored in …

This study considered the problem of identifying and evaluating the factors of individual
performance during race walking. In particular, the study explored the use of functional …

Movement variability is defined as the normal variations in motor performance across
multiple repetitions of a task. However, the term “movement variability” can mean different …

The proliferation of new biomechanical technology in laboratory and field settings facilitates
the capture of data-sets consisting of complex time-series. An understanding of the …

Objectives To examine whether the Functional Data Analysis (FDA), Statistical Parametric
Map** (SPM) and Statistical non-Parametric Map** (SnPM) hypothesis testing …

Background Despite our knowledge of several biomechanical risk factors related to anterior
cruciate ligament (ACL) injury, such as decreased knee flexion, increased knee abduction …