International Journal of Racket Sports Science

Statistical and AI-Based Techniques for Badminton Data Processing: Concepts, Applications, and Challenges

Leyza Elmeri Baldo Dorini, Bogdan Tomoyuki Nassu, Keiko Verônica Ono Fonseca — Sat, 21 Mar 2026 00:00:00 +0000

Recent advances of artificial intelligence, data science, sensors and wearable technologies have fostered the emergence of an increasing number of tools, services and approaches for collecting and processing sports data by promising information that can be used to improve athletes’ performance in a variety of contexts. Recent sports research publications indicate a trend on topics related to artificial intelligence (AI) and computer vision for data acquisition and analysis. However, this trend also raises questions from practitioners and researchers that are not familiar with the underlying concepts and technologies of such tools and approaches since their experience and education are mostly focused on the sports domain. Some of such questions are: what is the difference between these aforementioned technologies and techniques? What are common mistakes and caveats when trying to apply them in practice? Which of them better fits to overcome the challenges related to sports science from data collection to its analysis? With those questions in mind, this paper aims to provide an overview of the fundamental concepts of artificial intelligence and statistical data analysis, with a particular focus on their application to badminton-related challenges. We cover from classic statistics-based analysis to state-of-the-art deep learning models, addressing issues such as data acquisition and processing, and the limitations of each technique. We also discuss the interpretation of complex data outputs, since users must be aware of the limitations and potential biases of the algorithms to ensure that the insights provided by the results are relevant. We aim this knowledge can empower sports professionals to make informed decisions and effectively leverage technology to improve athletic performance and sports organizations.

Comparing Visual Gaze Pattern Strategy of Different Skill Level Badminton Players During Badminton Service Reception

Deniz Şimşek, Semra Bıdıl, Ece Ayaz Kanat, Eralp Doğu — Thu, 30 Apr 2026 00:00:00 +0000

The purpose of this study was to examine the eye movement characteristics and visual attention of badminton players with different levels of experience during serve reception. Twenty badminton players (n = 12 elite and n = 8 novice) performed 20 serve receptions (backhand and forehand, short and long serves). Eye movements, including quiet eye (QE) duration, average fixation duration, first fixation duration, and fixation count across 15 predefined areas of interest (AoIs), as well as pupillary responses (pupil diameter) during baseline and serve reception, were analysed. The results showed that elite players exhibited significantly longer QE durations than novice players during serve reception. Although no significant differences were observed in pupil diameter between groups, pupil dilation increased in all players during serve reception compared with baseline values, with greater dilation observed during forehand short and long serves. With respect to AoIs, elite players demonstrated significantly longer fixation durations on task-relevant areas, particularly the waist and racket, followed by the ball, left hand, and wrist, whereas novice players exhibited longer fixation durations on the head and outer areas. Overall, increased QE duration and pupil dilation during serve reception appear to be associated with enhanced visual attention processing. The findings indicate that gaze behaviour strategies differ according to playing experience during singles badminton serve reception, highlighting the importance of visual–motor integration in perceptual–motor performance.

Elbow pain in tennis players: not only lateral epicondylitis

Rodolfo Lisi, Carmelo Giuffrida, Michele Perniola, Simone Cigni — Wed, 03 Jun 2026 00:00:00 +0000

Tennis-related elbow pain is commonly attributed to lateral epicondylitis, although several other disorders may produce similar symptoms, including medial epicondylitis, olecranon bursitis, and peripheral nerve loading or entrapment syndromes. The aim of this paper is to analyze painful elbow conditions in tennis players that may be mistaken for lateral epicondylitis and to identify possible biomechanical and technical trigger mechanisms associated with tennis practice. The study is based on a narrative analysis of the literature, integrated with considerations from functional anatomy and tennis technique. Particular attention is given to movement patterns that may increase tensile, shear, compressive, or neural stress at the elbow. From a practical perspective, the findings highlight the importance of differential diagnosis and suggest that technical optimization, load management, and multidisciplinary evaluation may contribute to reducing the risk of elbow pathologies in tennis players, especially in amateur athletes.

The Relationship between Body Composition and Aerobic Capacity among Sub-Elite Badminton Athletes

Wed, 03 Jun 2026 00:00:00 +0000

This study aimed to compare body composition and aerobic capacity across sex and competitive levels, and to examine the relationships between body composition (BMI and fat percentage) and aerobic capacity (VO₂ max) among sub-elite youth badminton athletes. This research utilized a cross-sectional design, sampling on state-level athletes with (males n=22; females n=15); aged (10–16 years). The athletes underwent anthropometric measurements for the BMI, fat percentage and aerobic testing (VO2 max estimated via 2.4 km Cooper Run). The results revealed a significant gender disparity with males exhibiting higher VO2 max (52.37 vs 48.12 ml/kg/min) and lower fat percentages (11.73% vs. 22.50%) compared to females. A moderate positive correlation between BMI and VO2 max was observed in males (r = 0.412, p = 0.029), but no significant associations emerged for fat percentage or among females. The competitive levels (Podium, Elite, Trial) did not show any significant associations with body composition in relation to VO2 max, with podium athletes displaying the highest aerobic capacity (52.56 ml/kg/min) despite marginally higher BMI and fat percentage. These findings suggest that while sex and competitive level influence aerobic performance, body composition variables play showed a limited association with aerobic capacity among youth badminton athletes. In conclusion, the study highlighted the Sport-specific training adaptations and physiological factors may exert a stronger influence on aerobic fitness than anthropometric characteristics alone.