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Injuries in Badminton

Discussion in 'Biomechanics, Sports and Foot orthoses' started by NewsBot, Jun 18, 2015.

  1. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Bipedal Static Supination and Dynamic Forefoot Loading Characteristics in Taiwanese College Badminton Players: A Cross-Sectional Study
    Tong-Hsien Chow et al
    Bioengineering (Basel). 2023 Apr 21;10(4):498
     
  2. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Dose-response effect of incremental lateral-wedge hardness on the lower limb Biomechanics during typical badminton footwork
    Lin Yu et al
    J Sports Sci. 2023 Sep 24;1-18
     
  3. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Comparison of mechanical energy transfer during right-forward lunge between female amateur and professional badminton players
    Soheila Safavi, Rahman Sheikhhoseini & Sajjad Abdollahi
    BMC Sports Science, Medicine and Rehabilitation volume 15, Article number: 123 (2023)
     
  4. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    In vivo knee biomechanics during badminton lunges at different distances and different foot positions by using the dual fluoroscopic imaging system
    Di Peng et al
    Front Bioeng Biotechnol. 2023 Dec 21
     
  5. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Influence of Torsional Stiffness in Badminton Footwear on Lower Limb Biomechanics
    Siqin Shen et al
    J Sports Sci Med. 2024 Mar 1;23(1):196-208
     
  6. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance
    Minwoo Seong et al
    Sci Data. 2024 Apr 5;11(1):343
     
  7. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Aetiology, epidemiology and treatment of musculoskeletal injuries in badminton players: a systematic review and meta-analysis
    Ana Marchena-Rodriguez et al
    Res Sports Med. 2024 May 18:1-14
     
  8. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Press Release:
    GIST-MIT CSAIL researchers develop a biomechanical dataset for badminton performance analysis
    The MultiSenseBadminton dataset can be used to build AI-based coaching assistants for badminton players


    In sports training, practice is the key, but being able to emulate the techniques of professional athletes can take a player’s performance to the next level. AI-based personalized sports coaching assistants can make this a reality by utilizing published datasets. With cameras and sensors strategically placed on the athlete's body, these systems can track everything, including joint movement patterns, muscle activation levels, and gaze movements.

    Using this data, personalized feedback is provided on player technique, along with improvement recommendations. Athletes can access this feedback anytime, and anywhere, making these systems versatile for athletes at all levels.

    Now, in a study published in the journal Scientific Data on April 5, 2024, researchers led by Associate Professor SeungJun Kim from the Gwangju Institute of Science and Technology (GIST), South Korea, in collaboration with researchers from Massachusetts Institute of Technology (MIT), CSAIL, USA, have developed a MultiSenseBadminton dataset for AI-driven badminton training.

    “Badminton could benefit from these various sensors, but there is a scarcity of comprehensive badminton action datasets for analysis and training feedback,” says Ph.D. candidate Minwoo Seong, the first author of the study.

    Supported by the 2024 GIST-MIT project, this study took inspiration from MIT's ActionSense project, which used wearable sensors to track everyday kitchen tasks such as peeling, slicing vegetables, and opening jars. Seong collaborated with MIT’s team, including MIT CSAIL postdoc researcher Joseph DelPreto and MIT CSAIL Director and MIT EECS Professor Daniela Rus and Wojciech Matusik. Together, they developed the MultiSenseBadminton dataset, capturing movements and physiological responses of badminton players. This dataset, shaped with insights from professional badminton coaches, aims to enhance the quality of forehand clear and backhand drive strokes. For this, the researchers collected 23 hours of swing motion data from 25 players with varying levels of training experience.

    During the study, players were tasked with repeatedly executing forehand clear and backhand drive shots while sensors recorded their movements and responses. These included inertial measurement units (IMU) sensors to track joint movements, electromyography (EMG) sensors to monitor muscle signals, insole sensors for foot pressure, and a camera to record both body movements and shuttlecock positions. With a total of 7,763 data points collected, each swing was meticulously labeled based on stroke type, player’s skill level, shuttlecock landing position, impact location relative to the player, and sound upon impact. The dataset was then validated using a machine learning model, ensuring its suitability for training AI models to evaluate stroke quality and offer feedback.

    “The MultiSenseBadminton dataset can be used to build AI-based education and training systems for racket sports players. By analyzing the disparities in motion and sensor data among different levels of players and creating AI-generated action trajectories, the dataset can be applied to personalized motion guides for each level of players,” says Seong.

    The gathered data can enhance training through haptic vibration or electrical muscle stimulation, promoting better motion and refining swing techniques. Additionally, player tracking data, like that in the MultiSenseBadminton dataset, could fuel virtual reality games or training simulations, making sports training more accessible and affordable, potentially transforming how people exercise.

    In the long run, the researchers speculate that this dataset could make sports training more accessible and affordable for a broader audience, promote overall well-being, and foster a healthier population.
     
  9. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Biomechanical Effects of the Badminton Split-Step on Forecourt Lunging Footwork
    Yile Wang et al
    Bioengineering (Basel). 2024 May 17;11(5):501.
     
  10. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Influence of Torsional Stiffness in Badminton Footwear on Lower Limb Biomechanics
    Siqin Shen et al
    Journal of Sports Science and Medicine (2024) 23, 196 - 208
     
  11. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Biomechanical Effects of the Badminton Split-Step on Forecourt Lunging Footwork
    Yile Wang et al
    Bioengineering 2024, 11(5), 501; https://doi.org/10.3390/bioengineering11050501
    Background: This research investigates the biomechanical impact of the split-step technique on forehand and backhand lunges in badminton, aiming to enhance players’ on-court movement efficiency. Despite the importance of agile positioning in badminton, the specific contributions of the split-step to the biomechanical impact of lunging footwork still need to be determined. Methods: This study examined the lower limb kinematics and ground reaction forces of 18 male badminton players performing forehand and backhand lunges. Data were collected using the VICON motion capture system and Kistler force platforms. Variability in biomechanical characteristics was assessed using paired-sample t-tests and Statistical Parametric Mapping 1D (SPM1D). Results: The study demonstrates that the split-step technique in badminton lunges significantly affects lower limb biomechanics. During forehand lunges, the split-step increases hip abduction and rotation while decreasing knee flexion at foot contact. In backhand lunges, it increases knee rotation and decreases ankle rotation. Additionally, the split-step enhances the loading rate of the initial ground reaction force peak and narrows the time gap between the first two peaks. Conclusions: These findings underscore the split-step’s potential in optimizing lunging techniques, improving performance and reducing injury risks in badminton athletes
     
  12. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    An observational study of lower limb muscle imbalance assessment and gait analysis of badminton players
    Ping Huang et al
    Front Bioeng Biotechnol. 2024 Oct 29
     
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