Recent Articles

Open access

ISSN: 3050-5445

Differences in strength- and power-related capacities across biological maturation stages in young swimmers

In swimming, dry-land strength and power underpin key performance actions (starts and turns). Because these capacities change markedly during adolescence, accounting for biological maturation is essential...

Offline multi-agent reinforcement learning for evaluating and optimizing football attacking strategies against low-block defences

Applying reinforcement learning to real-world multi-agent systems remains challenging due to coordination complexity, partial observability, and the constraints of learning from static datasets. Football...

Understanding disparities in physiological response to exercise load intensity in PE classes: Effects on physical fitness evaluation stratified by gender, grade and class type

This study examined whether students’ internal and external exercise loads during middle-school physical education (PE) differ by sex, grade, and class type (teaching content). Internal and external...

Domain-guided mixture of experts for EEG-based emotion recognition

Human emotions are closely linked to specific regions of the, and recent studies have increasingly focused on extracting regional representations for EEG-based emotion recognition (EER). However, the...

Evolving landscapes of artificial intelligence in sports: Insights from scientometric and altmetric analyses

The rapid advancement of artificial intelligence (AI) has revolutionised various domains, including sports science. This study presents comprehensive scientometric and altmetric analyses of AI applications...

Did technology break the game? Effects of the video assistant referee (VAR) on elite European soccer

The addition of the video assistant referee (VAR) arguably represents the most significant change in the recent history of professional soccer. In this paper, we investigate whether the VAR has affected...

The application of machine learning in precise immune function monitoring of rowers: Building an interpretable XGBoost model based on blood markers used for training assessment

High-intensity training can suppress immune function in rowers; thus, monitoring immune function merits attention. However, in routine athlete monitoring, monitoring immune function is often low priority,...

Video-based cardiopulmonary coupling measurement: A feasibility study

Cardiopulmonary coupling (CPC) analysis quantifies the synchronization between heart rate variability and respiratory signals to reveal cardiopulmonary interactions, playing an important role in clinical...

Drone-based human motion capture: A review

Human motion capture (HMC) plays a vital role in fields such as biomechanics, sports, and rehabilitation. However, the traditional HMC systems are often limited by their high costs, indoor constraints,...

Mechanisms underlying the role of aerobic exercise in emotion regulation and its prescriptive considerations for promoting mental and physical health

With the increasing prevalence of emotional disorders and mental health challenges, identifying safe, effective, and widely applicable intervention strategies has become a pressing concern in public...

Limiting match congestion and implementing evidence-based recommendations to protect performance in elite soccer

In professional soccer, injury incidence remains a major concern for both player performance and player welfare. Elite teams with 25-player squads face an average of 50 injuries per season, equating...

Decoding the shooter’s brain: A systematic review of precision shooting sports based on EEG data

EEG is a noninvasive neurophysiological detection tool with high temporal resolution that provides rich physiological information and has received widespread attention in the field of sports science....

How drop height- and fatigue-dominated overtraining affect performance and its underlying mechanisms

The aim of this study was to analyse the effects of fatigue and drop height on the biomechanical characteristics of drop jumping movements, with a focus on revealing the mechanisms through which these...

A fatigue-adaptive hill model for online torque prediction

Modelling the muscles during human movement provides critical support for optimizing exercise training, developing intelligent rehabilitation systems, and advancing artificial prostheses. Nevertheless,...

Hydrogels for emerging wearable sweat monitoring devices

As a vital biofluid, sweat is widely recognized as an ideal diagnostic medium for health monitoring because of its non-invasive sampling and easy accessibility. Hydrogels have emerged as promising materials...

Multimodal physiological signals from wearable sensors for affective computing: A systematic review

In recent years, advances in wearable devices have driven the rapid development of multimodal physiological signals for affective computing. In this paper, we systematically review 34 relevant studies...

Differences in match-running performances across racial groups in professional soccer players

The aim of the current study is to examine whether match-running performance differs across players of different ethnic origins in elite soccer. Physical and technical performance data from all matches...

Age-group differences in receiving behaviour among male FIFA world cup players (Senior, U-20, U-17)

This study aimed to bridge the gap in age-group differences in the technical and tactical aspects of receiving behaviours across international soccer tournaments and guide youth training by clarifying...

Hoop-MSSL: Multitask self-supervised representation learning on basketball spatiotemporal data

Observing and identifying on-court behaviours by basketball players, who engage in intricate spatiotemporal interactions with their teammates and the opponent players, have long been considered challenging...

A review of artificial intelligence for sports: Technologies and applications

Artificial intelligence (AI) has demonstrated remarkable power in transforming various industries. It is clear that AI has shown promising results in enhancing athletic performance, competition management,...

SincEEGNet: An end-to-end adaptive multi-frequency convolutional neural network for SSVEP recognition

Recently, the filter banks (FB) strategy was utilized in the design of deep learning (DL) methods to recognize the steady-state visual evoked potentials (SSVEP). The methods with FB can leverage the...

Acute effects of executive load manipulation on working memory and cognitive flexibility following a dual task in semi-professional football players

Athletes in open-skill sports such as football must constantly process information, adapt to changing situations, and make decisions under pressure. To do so, cognitive abilities such as working memory...

Non-intrusive continuous user verification by care robots: MoveNet gait data

The growing ageing population demands for advanced care technologies, such as care robots, to support quality living. Ensuring the safety and privacy of these vulnerable users necessitates reliable...

Understanding the variability and determinants of corner kick effectiveness in professional football: A comparative and predictive analysis

The aims of this study were twofold: 1) to compare the differences in the characteristics of corner kick goals across three different European leagues and 2) to identify the main determinants of corner...

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