Movement screens are used to assess the overall movement quality of an athlete. However,
these rely on visual observation of a series of movements and subjective scoring. Data …

Movement screens are frequently used to identify differences in movement patterns such as
pathological abnormalities or skill related differences in sport; however, abnormalities are …

Observing, classifying and assessing human movements is important in many applied fields,
including human-computer interface, clinical assessment, activity monitoring and sports …

Recent advances in wearable sensing and machine learning have created ample
opportunities for “in the wild” movement analysis in sports, since the combination of both …

Action statistics in sports, such as the number of sprints and jumps, along with the details of
the corresponding locomotor actions, are of high interest to coaches and players, as well as …

Athlete movement data are integral for optimizing athlete-performance and can lead to
reduced fatigue and in turn can mitigate injury risk. There is a substantial amount of scientific …

In elite sports real-time feedback of biomechanical parameters is indispensable to achieve
performance enhancement. Wearables including embedded data analysis are a suitable …

Wearable sensors are an emerging technology, with growing evidence supporting their
application in sport performance enhancement. This study utilized data collected from a tri …

Accurate activity recognition has multiple useful health applications, including home-based
monitoring in various chronic disease applications. This paper utilizes a deep-learning …

Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …