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16 pages, 2550 KiB  
Article
A Study on the Improvement of YOLOv5 and the Quality Detection Method for Cork Discs
by Liguo Qu, Guohao Chen, Ke Liu and Xin Zhang
Photonics 2024, 11(9), 825; https://doi.org/10.3390/photonics11090825 - 1 Sep 2024
Viewed by 399
Abstract
Combining machine vision and deep learning, optical detection technology can achieve intelligent inspection. To address the issues of low efficiency and poor consistency in the quality classification of cork discs used for making badminton heads, research on optimizing the YOLOv5 image-processing algorithm was [...] Read more.
Combining machine vision and deep learning, optical detection technology can achieve intelligent inspection. To address the issues of low efficiency and poor consistency in the quality classification of cork discs used for making badminton heads, research on optimizing the YOLOv5 image-processing algorithm was conducted and applied to cork disc quality detection. Real-time images of cork discs were captured using industrial cameras, and a dataset was independently constructed. A GAN-based defect synthesis algorithm was employed to resolve the lack of defect samples. An attention mechanism was embedded in the YOLOv5 backbone network to enhance feature representation. The number of anchors in the YOLOv5 detection layer was reduced to address similar sample sizes, a center-matching strategy was designed to balance positive samples, and a shortest-distance label assignment algorithm was developed to eliminate ambiguities, improving accuracy and reducing postprocessing complexity. Detection results were integrated into quality classification. Experiments on the NVIDIA RTX3080 GPU demonstrated that the optimized algorithm improved the original YOLOv5 F1 score by 2.4% and mF1 score by 9.0%, achieving a quality classification F1 score of 95.1%, a processing speed of 178.5 FPS, and an mAP of 81.5%. Comparative experiments showed that the improved algorithm achieved the best detection accuracy on the cork disc dataset while maintaining high processing speed. Full article
(This article belongs to the Special Issue Optical Sensing Technologies, Devices and Their Data Applications)
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<p>Cork discs and classification.(<b>a</b>) Example images of cork disc. (<b>b</b>) Qualified cork disc. (<b>c</b>) Unqualified cork disc with many holes. (<b>d</b>) Unqualified cork disc with a large hole in the edge. (<b>e</b>) Unqualified cork disc with a notches in the edge. (<b>f</b>) Unqualified cork disc with black spots.</p>
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<p>Sample defect synthesis algorithm based on GAN.</p>
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<p>Architecture of the quality inspection model for cork discs.</p>
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<p>CBAM structure diagram.</p>
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<p>Schematic diagram of YOLOv5 and CM positive sample selection strategy. The grid is divided into four regions by using dotted cross lines. If the center point is predicted within a certain region, the two adjacent grids are selected according to the direction of the arrows.</p>
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<p>Schematic diagram of the SDLA strategy. The line with the arrow is the Euclidean distance from the anchor center to the truth targets.</p>
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<p>DRP logic diagram.</p>
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<p>Detection speed and mF1 score of different YOLOv5 models. The circle represents YOLOv5n, the triangle represents YOLOv5s, and the square represents YOLOv5m, regardless of color.</p>
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<p>Removal and addition of visual feature maps of defect target models. (<b>a</b>) The model output feature maps with removed defect sample training. (<b>b</b>) The model output feature maps with added defect sample training.The area between the two red circles represents the 1-4mm region of interest.</p>
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<p>Comparison of detection results between YOLOv5 and the improved model.</p>
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12 pages, 563 KiB  
Article
Factors Associated with Anxiety and Depression among Elite Collegiate Badminton Players in Japan: Exploratory Analysis
by Yuta Sakamoto, Junya Komagata, Atsuya Otsuka, Yukina Shinya, Momoka Sendouda and Yujiro Masu
Psychiatry Int. 2024, 5(3), 470-481; https://doi.org/10.3390/psychiatryint5030033 - 21 Aug 2024
Viewed by 396
Abstract
This study focused on mental health and fatigue in elite university student-athletes competing in badminton at the national level, comparing them with control university students and examining related factors. Among university athletes, anxiety and depression showed a moderately negative correlation with life satisfaction [...] Read more.
This study focused on mental health and fatigue in elite university student-athletes competing in badminton at the national level, comparing them with control university students and examining related factors. Among university athletes, anxiety and depression showed a moderately negative correlation with life satisfaction outside of sports, as determined by partial correlation tests adjusted for fatigue. Athletes demonstrated a 47% rate of anxiety and a 30% rate of depression. These values showed no significant difference from those of the anxiety (29%) and depression (21%) rates in a non-athlete university student sample. In addition, this study suggested that the evaluation of fatigue using a checklist of individual strength might produce low reliability and validity for elite university student-athletes in badminton. These exploratory findings highlight the importance of focusing on athletes’ overall life satisfaction and suggest the potential need for effective mental health interventions beyond sports. However, because of the exploratory nature of this study and the small sample size, further research is necessary to confirm these results. Full article
(This article belongs to the Topic Health Questionaries)
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<p>Flow chart for determining the subjects for analysis. The 40 college student-athletes who agreed to participate in the survey were excluded because of the level of competition (<span class="html-italic">n</span> = 8) and response errors (<span class="html-italic">n</span> = 3), resulting in a group of 29 athletes. The 41 healthy college students who agreed to participate in the survey were excluded because of their high level of competition (<span class="html-italic">n</span> = 1) and response errors (<span class="html-italic">n</span> = 3), resulting in a control group of 37 students.</p>
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24 pages, 12476 KiB  
Article
Construction and Analysis of the Physical Fitness Evaluation Index System for Elite Male Singles Badminton Players: Based on Delphi and AHP Methods
by Binyong Ye, Houwei Zhu, Zhen Yang, Zhanyang He, Gongju Liu, Huiju Pan and Haiying Guo
Life 2024, 14(8), 944; https://doi.org/10.3390/life14080944 - 28 Jul 2024
Viewed by 613
Abstract
Objective: To construct and validate a physical fitness evaluation index system for elite male singles badminton players. Methods: Utilizing the Delphi method to establish a comprehensive evaluation system, the analytic hierarchy process (AHP) was employed to calculate the influence weights of various indicators. [...] Read more.
Objective: To construct and validate a physical fitness evaluation index system for elite male singles badminton players. Methods: Utilizing the Delphi method to establish a comprehensive evaluation system, the analytic hierarchy process (AHP) was employed to calculate the influence weights of various indicators. The validity of the comprehensive evaluation system was verified using testing methods. Results: After three rounds of expert selection, the physical fitness evaluation index system for elite male singles badminton players includes three primary indicators, nine secondary indicators, and twenty-one tertiary indicators. Among the primary indicators, specialized physical fitness holds a significant weight in the evaluation with a value of 0.651, whereas body morphology has a smaller weight of 0.077. Among the secondary indicators, specialized agility, strength, and endurance have higher weights of 0.223, 0.217, and 0.210, respectively. Among the tertiary indicators, four-corner ball touch, 400 m × 5 shuttle run, smash-and-rush, and vertical jump height hold higher weights of 0.119, 0.114, 0.104, and 0.096, respectively. The results after randomly selecting ten elite male singles badminton players and applying the evaluation index system demonstrated that this system has high feasibility and validity. It can not only comprehensively assess the physical fitness of athletes but also provide significant practical guidance for enhancing their competitive performance. Conclusions: The evaluation system and weight assignments constructed in this study can scientifically and comprehensively reflect the physical fitness status of athletes. It can guide coaches in formulating targeted training plans and optimizing training outcomes. Full article
(This article belongs to the Special Issue Focus on Exercise Physiology and Sports Performance)
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<p>Research Process.</p>
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<p>Preliminary indicators of the physical fitness evaluation system for elite male singles badminton players.</p>
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<p>Calculation process of analytic hierarchy process.</p>
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<p>Physical fitness evaluation system for elite male singles badminton players.</p>
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<p>Hierarchical Structure Model.</p>
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<p>Consistency test results of indicators at each level.</p>
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<p>Weight of each indicator in the physical fitness evaluation system for elite male badminton singles players.</p>
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<p>Comprehensive weight ranking of indicators at each level.</p>
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<p>Weighted scores of tertiary indicators for physical fitness of elite male singles badminton players. Note: Different colors of lines represent the scoring conditions of different athletes.</p>
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<p>Weighted scores of tertiary indicators for physical fitness of elite male singles badminton players. Note: Different colors of lines represent the scoring conditions of different athletes.</p>
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<p>Weighted scores of secondary indicators for physical fitness of elite male singles badminton players. Note: Different colors of lines represent the scoring conditions of different athletes.</p>
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<p>Weighted scores of primary indicators and total scores for physical fitness of elite male singles badminton players.</p>
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20 pages, 11128 KiB  
Article
Enhancing Badminton Game Analysis: An Approach to Shot Refinement via a Fusion of Shuttlecock Tracking and Hit Detection from Monocular Camera
by Yi-Hua Hsu, Chih-Chang Yu and Hsu-Yung Cheng
Sensors 2024, 24(13), 4372; https://doi.org/10.3390/s24134372 - 5 Jul 2024
Viewed by 644
Abstract
Extracting the flight trajectory of the shuttlecock in a single turn in badminton games is important for automated sports analytics. This study proposes a novel method to extract shots in badminton games from a monocular camera. First, TrackNet, a deep neural network designed [...] Read more.
Extracting the flight trajectory of the shuttlecock in a single turn in badminton games is important for automated sports analytics. This study proposes a novel method to extract shots in badminton games from a monocular camera. First, TrackNet, a deep neural network designed for tracking small objects, is used to extract the flight trajectory of the shuttlecock. Second, the YOLOv7 model is used to identify whether the player is swinging. As both TrackNet and YOLOv7 may have detection misses and false detections, this study proposes a shot refinement algorithm to obtain the correct hitting moment. By doing so, we can extract shots in rallies and classify the type of shots. Our proposed method achieves an accuracy of 89.7%, a recall rate of 91.3%, and an F1 rate of 90.5% in 69 matches, with 1582 rallies of the Badminton World Federation (BWF) match videos. This is a significant improvement compared to the use of TrackNet alone, which yields 58.8% accuracy, 93.6% recall, and 72.3% F1 score. Furthermore, the accuracy of shot type classification at three different thresholds is 72.1%, 65.4%, and 54.1%. These results are superior to those of TrackNet, demonstrating that our method effectively recognizes different shot types. The experimental results demonstrate the feasibility and validity of the proposed method. Full article
(This article belongs to the Section Sensing and Imaging)
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<p>The model structure of Openpose.</p>
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<p>The model structure of Densepose.</p>
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<p>Architecture of TrackNet.</p>
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<p>Example of the shuttlecock trajectories during a play. Different colors represent different shots. The black dots imply the hit moments.</p>
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<p>System flowchart. Different colors represent different trajectories.</p>
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<p>(<b>a</b>) Extracted results using Openpose; (<b>b</b>) Results of perspective transformation. Only players’ ankle points are pertained. The red dots is the left ankle points and the blue dots are the right ankle points.</p>
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<p>Visual comparison between TrackNet and the proposed SRA. The colored lines represent the extracted trajectories. (<b>a</b>) A wrong shot extraction due to the miss of shuttlecock detection; (<b>b</b>) The proposed SRA, which can extract correct shots under severe detection miss; (<b>c</b>) The groundtruth trajectories, which contain three shots marked in different colors.</p>
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<p>An example of hit-detection result.</p>
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<p>An example of case 1. The colored lines represent the extracted trajectories. There is only one <span class="html-italic">HD-T</span> in a hit sequence, so it is considered a true hit moment.</p>
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<p>An example of case 2. The colored lines represent the extracted trajectories. <span class="html-italic">HD-T</span> occurs in a hit sequence that does not belong to any player, so it is considered a false positive and is removed.</p>
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<p>An example of case 3. The colored lines represent the extracted trajectories. Multiple <span class="html-italic">HD-T</span>s occurr in a hit sequence which belongs to a player, so only one <span class="html-italic">HD-T</span> is retained.</p>
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<p>An example of case 4. The colored lines represent the extracted trajectories. No <span class="html-italic">HD-T</span> exists in a hit sequence that belongs to a player. In this situation, the frame that provides highest confidence by the detection model is considered the hit moment.</p>
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<p>An example of case 5. No <span class="html-italic">HD-T</span> exists in a hit sequence that does not belong to any player. This situation is considered true negative.</p>
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<p>Some sample images from BWF official videos.</p>
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<p>Trajectory-extraction results. Each column represents the extraction results of a method: (<b>a</b>) HD-T; (<b>b</b>) SRA; (<b>c</b>) Groundtruth. Black dots represent the hit moment and the colored lines represent the extracted trajectories. The proposed SRA can effectively address the false positives produced by HD-T.</p>
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<p>Comparison of shot-type classification results when IoU threshold is set to 0.5. A darker color represents a higher value. (<b>a</b>) TrackNet; (<b>b</b>) SRA.</p>
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13 pages, 759 KiB  
Article
What Is the Role of Religious Commitment between an Extrovert Personality and Moral Disengagement through Prosocial/Antisocial Behaviours and Moral Identity? An Investigation on Student-Athletes
by Lale Yildiz Cakir, Ali Gurel Goksel, Osman Tolga Togo, Ender Senel, Abdurrahman Yaras, Tuba Kizilet and Mevlut Yildiz
Religions 2024, 15(7), 759; https://doi.org/10.3390/rel15070759 - 24 Jun 2024
Viewed by 729
Abstract
Moral disengagement in sports refers to the psychological process through which individuals distance themselves from the ethical implications of their actions within the sporting context. This study aims to examine the role of religious commitment between personality traits and moral disengagement and investigate [...] Read more.
Moral disengagement in sports refers to the psychological process through which individuals distance themselves from the ethical implications of their actions within the sporting context. This study aims to examine the role of religious commitment between personality traits and moral disengagement and investigate the role of prosocial and antisocial behaviours and moral identity. Student-athletes were recruited from individual and team sports, including football, basketball, handball, volleyball, wrestling, combat sports, swimming, track and field, cycling, badminton, and futsal. We hypothesised that extrovert personality traits directly predict moral identity, religious commitment, and prosocial/antisocial behaviours. Extraversion predicted moral disengagement with the mediation roles of internalisation, symbolisation, religious commitment, and pro- and antisocial behaviours. Our findings provide insights into the complex relationships between personality traits, internalisation, symbolisation, religious commitment, social behaviours, and their impact on moral disengagement. They highlight the importance of considering internalisation, symbolisation, and religious commitment mediating roles in understanding the relationships between extraversion, social behaviours, and moral disengagement. Understanding the complex relationship among these factors can inform the development of tailored interventions that address individual athletes’ needs and characteristics. Our study contributes to the growing body of literature on the psychological underpinnings of ethical behaviour in sports. By elucidating the roles of extraversion, moral identity, religious commitment, and social behaviours in moral disengagement, this research provides a more nuanced understanding of the factors influencing ethical decision-making and behaviour in student-athletes. Full article
(This article belongs to the Special Issue Sport and Religion: Continuities, Connections, Concerns)
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<p>Hypothesised path analysis of the prediction of moral disengagement by extraversion through moral identity, religious commitment, and prosocial and antisocial behaviours.</p>
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<p>Standardised estimates for the hypothesised path of the prediction of moral disengagement by extraversion through moral identity, religious commitment, and prosocial and antisocial behaviours.</p>
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13 pages, 709 KiB  
Review
Benefits of Badminton for Preventing Cognitive Decline and Dementia
by Ayame Oishi and Takao Yamasaki
Encyclopedia 2024, 4(2), 984-996; https://doi.org/10.3390/encyclopedia4020063 - 17 Jun 2024
Viewed by 1335
Abstract
Badminton is one of the most popular racket sports played by all age groups worldwide. Anyone can practice and play badminton as a leisure or competitive sport, regardless of age, experience, or skill level. It does not require physical contact among players or [...] Read more.
Badminton is one of the most popular racket sports played by all age groups worldwide. Anyone can practice and play badminton as a leisure or competitive sport, regardless of age, experience, or skill level. It does not require physical contact among players or expensive equipment. Compared with closed-skill exercises (e.g., running and swimming), open-skill exercises (e.g., badminton and table tennis) have been reported to significantly improve cognitive function and prevent cognitive decline. This mini review aimed to investigate the findings related to badminton intervention for cognitive function, with attention to the modifiable risk factors of dementia in adults. Additionally, we outlined the characteristics of badminton’s physical demands. This narrative review encompassed studies reported from 2013 to 2023 from multiple databases, including PubMed and Google Scholar. Keywords such as “badminton”, “dementia”, “cognitive function”, “physical activity”, and “depression” were used to identify relevant articles. Various studies, including randomized controlled trials, cohort studies, and case–control studies, were selected to provide a comprehensive overview of badminton intervention. Quantitative data analysis suggests that at a cognitive level, high-intensity badminton can enhance cognitive function with at least 10 min of play once weekly or 20 min of play once weekly on average, whereas moderate-intensity badminton can be effective when played for at least 30 min once weekly or 35 min twice weekly on average. For modifiable risk factors, recreational badminton for about 3 h weekly could effectively manage blood pressure. For body fat percentage and fasting serum glucose levels, recreational badminton for about 10 h weekly exerted positive effects. For depressive states, a moderate-intensity badminton program for 100 min weekly was effective. For lipid profiles associated with dementia occurrence, prolonged badminton intervention for more than 3 months may be beneficial. The characteristics presented here indicate that intervention with regular badminton exercise could effectively improve cognitive function and prevent cognitive decline in older adults. Full article
(This article belongs to the Section Medicine & Pharmacology)
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<p>A badminton racket and a shuttle (<b>a</b>), adapted from photo AC (<a href="https://www.photo-ac.com/" target="_blank">https://www.photo-ac.com/</a>, accessed on 1 March 2024), and three players, ranging from adolescents to older adults, engaged in a recreational rally with a shuttle about to be hit by a singles player on the back court, whereas the doubles players are trying to predict its trajectory and move to the front court (<b>b</b>).</p>
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9 pages, 214 KiB  
Communication
Designing and Conducting an Injury Study in Amateur Badminton Players
by Jin-Wook Jeon, Seung-Taek Lim and Ji-Hoon Cho
Appl. Sci. 2024, 14(12), 5194; https://doi.org/10.3390/app14125194 - 14 Jun 2024
Viewed by 649
Abstract
This study aims to examine sports injuries among amateur badminton players engaged in recreational activities, establishing a foundation for developing effective injury prevention and training programs. We assessed 504 amateur badminton players (302 males, 202 females) competing in the 2023 National Badminton Tournament [...] Read more.
This study aims to examine sports injuries among amateur badminton players engaged in recreational activities, establishing a foundation for developing effective injury prevention and training programs. We assessed 504 amateur badminton players (302 males, 202 females) competing in the 2023 National Badminton Tournament in South Korea. This study focused on players involved in doubles matches, omitting singles competitors. Participants were divided into categories based on competitive and training sessions to document the location and type of injuries sustained. During competitions, the most frequently injured body parts were the waist (11.92%), ankle (11.66%), and knees and shoulders (11.53% each). In training sessions, injuries primarily affected the back and knees (12.43%) and shoulders (12.21%). The most common types of injuries during competitions were to muscles (35.60%), ligaments (29.32%), and tendons (12.04%), and during training to muscles (39.91%), ligaments (26.68%), and tendons (13.23%). Injuries resulting from player-to-player contact represented 19.44% of cases, while those involving non-player elements such as facility equipment accounted for 16.47%. There is a critical need to develop targeted injury prevention programs for amateur badminton players to mitigate injuries and enhance performance, thereby helping prevent the progression to chronic injury stages. Full article
(This article belongs to the Special Issue Sports Medicine, Exercise, and Health: Latest Advances and Prospects)
16 pages, 6070 KiB  
Article
Biomechanical Effects of the Badminton Split-Step on Forecourt Lunging Footwork
by Yile Wang, Liu Xu, Hanhui Jiang, Lin Yu, Hanzhang Wu and Qichang Mei
Bioengineering 2024, 11(5), 501; https://doi.org/10.3390/bioengineering11050501 - 17 May 2024
Cited by 1 | Viewed by 1317
Abstract
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 [...] Read more.
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. Full article
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<p>Illustration of experimental setup and the (non) split-step lunging footwork.</p>
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<p>Diagram of marker set placement.</p>
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<p>Illustrating the definition of vertical ground reaction force indicators.</p>
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<p>The mean and standard deviation of the range of motion (ROM) of the hip, knee, and ankle angles during the right foot support phase of the FH and BH lunges with and without the split-step. Notes: * indicates significant difference (<span class="html-italic">p</span> &lt; 0.05); FH represents forehand lunge without the split-step; FHS represents forehand lunge with the split-step; BH represents backhand lunge without the split-step; BHS represents backhand lunge with the split-step.</p>
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<p>The kinematic characteristics of the hip joint during the right foot support phase of the lunge for FH and BH strides. Notes: FH represents forehand lunge without the split-step; FHS represents forehand lunge with the split-step; BH represents backhand lunge without the split-step; BHS represents backhand lunge with the split-step.</p>
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<p>The kinematic characteristics of the knee joint during the right foot support phase of the lunge for FH and BH strides. Notes: FH represents forehand lunge without the split-step; FHS represents forehand lunge with the split-step; BH represents backhand lunge without the split-step; BHS represents backhand lunge with the split-step.</p>
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<p>The kinematic characteristics of the ankle joint during the right foot support phase of the lunge for FH and BH strides. Notes: FH represents forehand lunge without the split-step; FHS represents forehand lunge with the split-step; BH represents backhand lunge without the split-step; BHS represents backhand lunge with the split-step.</p>
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<p>Vertical ground reaction force (VGRF) characteristics during the support phase. Notes: FH represents forehand lunge without the split-step; FHS represents forehand lunge with the split-step; BH represents backhand lunge without the split-step; BHS represents backhand lunge with the split-step.</p>
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17 pages, 5681 KiB  
Article
Visual Perception and Multimodal Control: A Novel Approach to Designing an Intelligent Badminton Serving Device
by Fulai Jiang, Yuxuan Lin, Rui Ming, Chuan Qin, Yangjie Wu, Yuhui Liu and Haibo Luo
Machines 2024, 12(5), 331; https://doi.org/10.3390/machines12050331 - 13 May 2024
Viewed by 825
Abstract
Addressing the current issue of limited control methods for badminton serving devices, this paper proposes a vision-based multimodal control system and method for badminton serving. The system integrates computer vision recognition technology with traditional control methods for badminton serving devices. By installing vision [...] Read more.
Addressing the current issue of limited control methods for badminton serving devices, this paper proposes a vision-based multimodal control system and method for badminton serving. The system integrates computer vision recognition technology with traditional control methods for badminton serving devices. By installing vision capture devices on the serving device, the system identifies various human body postures. Based on the content of posture information, corresponding control signals are sent to adjust parameters such as launch angle and speed, enabling multiple modes of serving. Firstly, the hardware design for the badminton serving device is presented, including the design of the actuator module through 3D modeling. Simultaneously, an embedded development board circuit is designed to meet the requirements of multimodal control. Secondly, in the aspect of visual perception for human body recognition, an improved BlazePose candidate region posture recognition algorithm is proposed based on existing posture recognition algorithms. Furthermore, mappings between posture information and hand information are established to facilitate parameter conversion for the serving device under different postures. Finally, extensive experiments validate the feasibility and stability of the developed system and method. Full article
(This article belongs to the Special Issue Advanced Methodology of Intelligent Control and Measurement)
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<p>Badminton serves device system design and operation flowcharts.</p>
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<p>Structure of the actuator module of the teeing device.</p>
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<p>Embedded development board circuit design diagram.</p>
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<p>The improved BlazePose algorithm flowchart.</p>
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<p>Coordinates the key points of the “cross-handed” posture.</p>
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<p>Coordinate index diagram of ‘four’ attitude key points.</p>
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<p>Definition map of body posture interaction commands (<b>a</b>) B1: Speed up the serve speed; (<b>b</b>) B2: Slow down the serve speed; (<b>c</b>) B3: Launch the high long ball; (<b>d</b>) B4: Stop serving.</p>
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<p>Gesture interaction command definition diagram (<b>a</b>) H1: Turn left 15 degrees; (<b>b</b>) H2: Turn right 15 degrees; (<b>c</b>) H3: Serve a single ball; (<b>d</b>) H4: Tilted down 5 degrees; (<b>e</b>) H5: Tilted up 5 degrees; (<b>f</b>) H6: Launch the near netball; (<b>g</b>) H7: Launch the mid-court ball; (<b>h</b>) H8: Launch the high long ball; (<b>i</b>) H9: Continuous launch badminton.</p>
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<p>Chaos Matrix Diagram (<b>a</b>) Confusion matrix of gesture detection results; (<b>b</b>) Confusion matrix of experimental results for body posture detection.</p>
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<p>Diagram of the location of each piece of equipment in the badminton serving device (<b>a</b>) Front diagrams; (<b>b</b>) Side diagrams; (<b>c</b>) Back diagrams; (<b>d</b>) Inside diagrams (Note: (1) is the vision module, (2) the signal control module, (3) the DC battery, and (4) the microprocessor module).</p>
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<p>Experimental diagram (<b>a</b>) Map of the lab site; (<b>b</b>) Real experimental diagram.</p>
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<p>Three types of ball drop point diagrams (<b>a</b>) The near net ball experimental diagram; (<b>b</b>) The mid-court ball data diagram; (<b>c</b>) The high long ball experimental diagram; (<b>d</b>) The near net ball data diagram; (<b>e</b>) The mid-court ball data diagram; (<b>f</b>) The high long ball data diagram.</p>
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<p>Distribution plot of mean deviation and standard deviation (<b>a</b>) The near net ball deviation scatter plot; (<b>b</b>) The mid-court ball deviation scatter plot; (<b>c</b>) The high long ball deviation scatter plot.</p>
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<p>Histogram of mean and standard deviation.</p>
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14 pages, 1000 KiB  
Article
Direct Economic Short-Term Impact of Public Spending in Sporting Events: The Case of the Elite and Senior Badminton World Championships
by María Quirante, Jordi Seguí-Urbaneja, Juan Carlos Guevara-Pérez and David Cabello-Manrique
Tour. Hosp. 2024, 5(2), 381-394; https://doi.org/10.3390/tourhosp5020024 - 7 May 2024
Viewed by 1337
Abstract
Sporting events are drivers of urban life and have the potential to bring substantial short-term economic benefits to the host region by attracting visitor spending. This study has analyzed the impact generated by the 2021 Senior and Elite Badminton World Championships that took [...] Read more.
Sporting events are drivers of urban life and have the potential to bring substantial short-term economic benefits to the host region by attracting visitor spending. This study has analyzed the impact generated by the 2021 Senior and Elite Badminton World Championships that took place in Huelva, Spain. The objectives are (i) determine the economic impact and determining factors; and (ii) the impact on the development of badminton in the region. For this purpose, the study used the Cost-Benefit Analysis approach to estimate the cashflows through a survey applied to both events. The results reflect a direct positive impact on the region’s economy, although the results are not as satisfactory at the sporting level. The article contributes to the few mid-range event studies on a minority sport in a city with a highly developed tourism sector. Full article
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<p>Criteria for determining the classification, characteristics, and determinants of the sports events analysed [<a href="#B14-tourismhosp-05-00024" class="html-bibr">14</a>,<a href="#B30-tourismhosp-05-00024" class="html-bibr">30</a>,<a href="#B31-tourismhosp-05-00024" class="html-bibr">31</a>,<a href="#B32-tourismhosp-05-00024" class="html-bibr">32</a>,<a href="#B33-tourismhosp-05-00024" class="html-bibr">33</a>,<a href="#B34-tourismhosp-05-00024" class="html-bibr">34</a>,<a href="#B35-tourismhosp-05-00024" class="html-bibr">35</a>].</p>
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<p>Distribution of the economic return. Source: Own elaboration.</p>
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16 pages, 787 KiB  
Review
Wheelchair Badminton: A Narrative Review of Its Specificities
by Ilona Alberca, Bruno Watier, Félix Chénier, Florian Brassart and Arnaud Faupin
Biomechanics 2024, 4(2), 219-234; https://doi.org/10.3390/biomechanics4020012 - 2 Apr 2024
Viewed by 957
Abstract
This narrative review aims to provide a comprehensive overview of the scientific literature on wheelchair badminton and its distinctive aspects, encompassing abilities and disabilities, propulsion technique, and the use of a racket. The relatively young history of wheelchair badminton is reflected in the [...] Read more.
This narrative review aims to provide a comprehensive overview of the scientific literature on wheelchair badminton and its distinctive aspects, encompassing abilities and disabilities, propulsion technique, and the use of a racket. The relatively young history of wheelchair badminton is reflected in the scarcity of scientific studies within this domain, highlighting the need for further investigation. The review systematically covers existing articles on wheelchair badminton, offering a nearly exhaustive compilation of knowledge in this area. Findings suggest that athletes with abdominal capacities engage in more intense matches with a higher frequency of offensive shots compared to athletes with little or no abdominal capacities. Moreover, backward propulsion induces higher cardiorespiratory responses, overall intensity of effort, physiological stress, metabolic load, and rating of perceived exertion, particularly at high imposed rolling resistance or speeds, and makes it difficult to generate sufficient forces on the handrim, requiring adjustments in the kinematics of propulsion techniques, particularly at high rolling resistances or speeds, potentially leading to performance decrements. The use of a badminton racket further increases generated forces while decreasing the efficiency of propulsion and modifying the propulsion technique with shorter and quicker pushes, potentially impacting performance. Further research is imperative to explore additional perspectives, address existing gaps, and expand the scope of study within the wheelchair badminton domain. This narrative review serves as a foundation for future investigations, emphasizing the necessity of continued research to enhance our understanding of wheelchair badminton. Full article
(This article belongs to the Collection Locomotion Biomechanics and Motor Control)
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<p>Main findings of the narrative review.</p>
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11 pages, 2684 KiB  
Article
Early Bloomer and Future Master: Getting to the Top of the Modern Badminton World
by Jen-Hao Hsu, Hung-Chieh Fan Chiang, Hsin-Lun Lin, Duan-Shin Lee and Zai-Fu Yao
Appl. Sci. 2024, 14(7), 2894; https://doi.org/10.3390/app14072894 - 29 Mar 2024
Viewed by 697
Abstract
The road to the top is never easy. This study investigated whether the career trajectories of top-level men’s and women’s badminton players could be predicted by their age at first major debut and the time taken to reach the top 150. Data from [...] Read more.
The road to the top is never easy. This study investigated whether the career trajectories of top-level men’s and women’s badminton players could be predicted by their age at first major debut and the time taken to reach the top 150. Data from the BWF from October 2009 to October 2022 were analyzed using a predictive linear regression model with Bayesian inference, adjusting for anthropometric factors. The results suggested that age at debut influences career high rankings among over 120 elite players. Additionally, observations challenged the Matthew effect in early-career success for young players, proposing that inherent talent may be more significant than early nurturing. The study also examined the potential impact of relative age and early specialization in sports. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
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<p>The number of professional players from 2009 to 2022. * denotes the absence of competition records for 2020 on the BWF official site, attributed to the COVID-19 pandemic.</p>
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<p>Birth month distribution across athletes.</p>
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<p>The Bayesian correlation pairwise plots. A = trajectory index, B = nurture index. (<b>A1</b>). Prior and posterior of Bayesian correlation model. (<b>A2</b>). Bayes factor (BF) robustness check. (<b>A3</b>). Sequential analysis. (<b>B1</b>). Prior and posterior of Bayesian correlation model. (<b>B2</b>). Bayes factor (BF) robustness check. (<b>B3</b>). Sequential analysis.</p>
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<p>Partial regression residual plots. (<b>A</b>). Residual plot for trajectory index vs. career high ranks across all players. (<b>B</b>). Residual plot for nurture index vs. career high ranks across all players. (<b>C</b>). Standardized residuals histogram. (<b>D</b>). Q-Q plot. Blue dashed line = 95% confidence intervals. Green dashed line = 95% prediction intervals. Red line = line of best fit.</p>
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<p>(<b>A</b>). Association between trajectory index and nurture index. (<b>B</b>). The A1 (i.e., the age at which a player made it to the top 150) and the age of the career high ranking. The darker blue indicates a higher ranking, whereas lighter blue indicates lower ranking performance in players.</p>
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15 pages, 1677 KiB  
Article
The Effects of an Inclusive Badminton Program on Static Postural Control for Individuals with Intellectual and Developmental Disabilities
by Alana J. Turner, Harish Chander, Sachini N. K. Kodithuwakku Arachchige, Aaron Griffith, Po-Lin Chen, Chih-Chia (JJ) Chen, Adam C. Knight, Kayla Bates-Brantley, Kasee Stratton-Gadke and J. Chadwick Smith
Int. J. Environ. Res. Public Health 2024, 21(2), 210; https://doi.org/10.3390/ijerph21020210 - 10 Feb 2024
Viewed by 1599
Abstract
The purpose of the study was to examine static postural control/balance in young adults with intellectual and developmental disabilities (IDD) and typically developing (TD) young adults before, during, and after an inclusive badminton intervention. Eight participants (four IDD-BADM and four TD-BADM) participated in [...] Read more.
The purpose of the study was to examine static postural control/balance in young adults with intellectual and developmental disabilities (IDD) and typically developing (TD) young adults before, during, and after an inclusive badminton intervention. Eight participants (four IDD-BADM and four TD-BADM) participated in a 12-week inclusive badminton intervention, with the other eight participants as matched controls (four IDD-CONTR and four TD-CONTR) (74.19 kg ± 9.8 kg, 171.96 cm ± 5.4 cm; 21.7 ± 1.8 years of age; nine females and seven males; eight with IDD and eight TD). The study followed a repeated measures design (pre, mid, post) before the intervention, at 6 weeks, and after 12 weeks. Static postural sway conditions included: bilateral stance eyes open (20 s), eyes closed (10 s), foam eyes open (20 s), foam eyes closed (10 s), and unilateral stance eyes open (10 s) and foam eyes open (10 s). Sway measurements included: average anterior/posterior (A/P) displacement (in), average medial/lateral (M/L) displacement (in), average 95% ellipsoid area (in2), and average velocity (ft/s). Significant time × group interactions were reported for average velocity (EO) (p = 0.030), average length (EO) (p = 0.030), 95% ellipsoid area (EO) (p = 0.049), and average A/P displacement (1LEO) (p = 0.036) for IDD-BADM. Significant time main effects were reported for average A/P displacement (FEO) (p = 0.040) for IDD groups. Significant time main effects were reported for average M/L displacement (EO) (p = 0.001), (EC) (p = 0.004), (FEO) (p = 0.005), (FEC) (p = 0.004), and average A/P displacement (EO) (p = 0.006) and (FEO) (p = 0.005) for TD groups. An inclusive badminton program indicated evidence of improved static postural control for those with IDD. However, no significant differences were reported for TD peers. Full article
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<p>(<b>a</b>) Average COP velocity IDD groups. “#” indicates significance (group × time interaction). (<b>b</b>) Average length for IDD groups. “#” indicates significance (group × time interaction). (<b>c</b>) 95% ellipsoid area for IDD groups. “#” indicates significance (group × time interaction). (<b>d</b>) Average M/L COP displacement for TD groups. “*” indicates significance (time-main effect). (<b>e</b>) Average A/P COP displacement for TD groups. “*” indicates significance (time-main effect).</p>
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<p>Average M/L COP displacement for TD groups (EC). “*” indicates significance (time-main effect).</p>
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<p>(<b>a</b>) Average A/P COP displacement for IDD groups. “*” indicates significance (time-main effect). (<b>b</b>) Average M/L COP displacement for TD groups. “*” indicates significance (time-main effect). (<b>c</b>) Average A/P COP displacement for TD groups. “*” indicates significance (time-main effect).</p>
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<p>Average M/L COP displacement for TD groups (FEC). “*” indicates significance (time-main effect).</p>
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<p>Average A/P COP displacement for IDD groups. “#” indicates significance (group × time interaction).</p>
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<p>Study design.</p>
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18 pages, 6045 KiB  
Article
Automated Service Height Fault Detection Using Computer Vision and Machine Learning for Badminton Matches
by Guo Liang Goh, Guo Dong Goh, Jing Wen Pan, Phillis Soek Po Teng and Pui Wah Kong
Sensors 2023, 23(24), 9759; https://doi.org/10.3390/s23249759 - 11 Dec 2023
Cited by 10 | Viewed by 3293
Abstract
In badminton, accurate service height detection is critical for ensuring fairness. We developed an automated service fault detection system that employed computer vision and machine learning, specifically utilizing the YOLOv5 object detection model. Comprising two cameras and a workstation, our system identifies elements, [...] Read more.
In badminton, accurate service height detection is critical for ensuring fairness. We developed an automated service fault detection system that employed computer vision and machine learning, specifically utilizing the YOLOv5 object detection model. Comprising two cameras and a workstation, our system identifies elements, such as shuttlecocks, rackets, players, and players’ shoes. We developed an algorithm that can pinpoint the shuttlecock hitting event to capture its height information. To assess the accuracy of the new system, we benchmarked the results against a high sample-rate motion capture system and conducted a comparative analysis with eight human judges that used a fixed height service tool in a backhand low service situation. Our findings revealed a substantial enhancement in accuracy compared with human judgement; the system outperformed human judges by 3.5 times, achieving a 58% accuracy rate for detecting service heights between 1.150 and 1.155 m, as opposed to a 16% accuracy rate for humans. The system we have developed offers a highly reliable solution, substantially enhancing the consistency and accuracy of service judgement calls in badminton matches and ensuring fairness in the sport. The system’s development signifies a meaningful step towards leveraging technology for precision and integrity in sports officiation. Full article
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<p>Schematic showing (<b>a</b>) proposed automatic service fault detection system and the approximated field of views of the cameras, (<b>b</b>) the actual setup of camera system captured in the Malaysia Open 2023, (<b>c</b>) viewing angle from behind the camera, (<b>d</b>,<b>e</b>) actual viewing perspectives of the left and right cameras, respectively.</p>
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<p>Schematic showing the working principle of service fault detection using the proposed camera configuration. Examples of (<b>a</b>) service fault too high (SFTH) and (<b>b</b>) legal service.</p>
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<p>Schematic showing the detection errors due to (<b>a</b>) pitch and (<b>b</b>) roll angles’ misalignment. (<b>c</b>) Calibration steps for the camera system (white lines and red lines represent center of CCD sensor and the calibration sticks, respectively).</p>
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<p>Various types of badminton service captured at different venues for the datasets.</p>
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<p>Shuttlecock-only images were added to increase the label counts of shuttlecocks to balance the dataset.</p>
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<p>Distribution of the classes in the dataset.</p>
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<p>Image sequences (acquired at 70 fps) showing the hitting instants in (<b>a</b>) backhand low serve and (<b>b</b>) forehand high serve situations and the determination of the shuttlecock’s maximum height at the hitting instant (N<sup>th</sup> frame). The hitting instant (N<sup>th</sup> frame) is determined by the large horizontal displacement of the shuttlecock as compared to the next frame (N+1<sup>th</sup> frame).</p>
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<p>Overview of service fault detection algorithm.</p>
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<p>Images showing (<b>a</b>) the experimental setup of the motion capture system and the fixed height service tool (FHST), (<b>b</b>,<b>c</b>) white arrows pointing at the reflective markers attached to the racket and the shuttlecocks, (<b>d</b>) the reconstruction of 3D model using coordinates of markers (red crosses), and (<b>e</b>) service height distribution. The red dashed line separates the legal and fault services.</p>
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<p>Graph showing the shuttlecock’s horizontal speed during a backhand short service.</p>
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<p>Graphs showing (<b>a</b>) the training losses and (<b>b</b>) validation losses for box, objectness, and classification. (<b>c</b>) Graph showing mAP at threshold = 0.5, reaching 99% after 580 epochs, (<b>d</b>) precision-recall curve of the trained model. Large area under the curve indicates high precision and high recall, (<b>e</b>) image showing the inference output of the trained model.</p>
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<p>Diagram illustrating the definitions of the range of confusion, the deviation of midpoint of confusion, and the dataset representation for range of confusion (RoC).</p>
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<p>Boxplots of legal and fault calls made by (<b>a</b>) human and (<b>b</b>) system. Chart showing the region of confusion for (<b>c</b>) human and (<b>d</b>) system.</p>
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<p>Histograms showing distribution of legal and fault calls made by (<b>a</b>) humans and (<b>b</b>) system. (<b>c</b>) Bar chart showing the accuracy of human and system calls at different service heights.</p>
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<p>(<b>a</b>) Schematic showing the possible bounding box detection error due to (<b>a-i</b>) the inaccuracy of the object detection model’s prediction and (<b>a-ii</b>) occlusion, and (<b>b</b>) graphs illustrating the effect of processing speed and service style leading to height detection error. The relative height refers to the vertical distance between the measured shuttlecock height at N<sup>th</sup> frame relative to the actual shuttlecock height at the hitting instant. (Note: the threshold velocity in the graphs is for illustration purposes only, the exact threshold is not disclosed.)</p>
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17 pages, 1896 KiB  
Article
Biomechanical Insights for Developing Evidence-Based Training Programs: Unveiling the Kinematic Secrets of the Overhead Forehand Smash in Badminton through Novice-Skilled Player Comparison
by Fulin Li, Shiming Li, Xiang Zhang and Gongbing Shan
Appl. Sci. 2023, 13(22), 12488; https://doi.org/10.3390/app132212488 - 19 Nov 2023
Cited by 1 | Viewed by 3122
Abstract
Badminton, a dynamic racquet sport demanding agility and power, features the overhead forehand smash as a pivotal offensive shot. Utilizing 3D motion analysis, this research delves into the intricate biomechanical facets underpinning this pivotal shot, with a dual focus on both novice and [...] Read more.
Badminton, a dynamic racquet sport demanding agility and power, features the overhead forehand smash as a pivotal offensive shot. Utilizing 3D motion analysis, this research delves into the intricate biomechanical facets underpinning this pivotal shot, with a dual focus on both novice and proficient players. Through a comparative analysis of these two player cohorts, the investigation aims to elucidate the fundamental factors influencing the quality of the forehand smash. Our findings reveal that skilled players exhibit significant improvements in smash quality, including a 60.2% increase in shuttlecock speed, reduced clearance height, and flight angle at release. These enhancements are associated with specific determinants, such as consistent positioning, racket angle at impact, and range of motion (ROM) in various joints. More crucially, full-body tension-arc formation and a four-segment whip-like smash contribute to these improvements. Unique to the whip-like smash is the rapid trunk and shoulder rotations in early whip-like control inducing passive elbow flexion and wrist over-extension, enhancing the stretch-shortening cycle (SSC) effect of muscles for a more powerful smash. Emphasizing this uniqueness and the determinants simplify smash learning, potentially boosting training effectiveness. This research contributes to a deeper understanding of badminton’s biomechanics and offers practical implications for coaches and players to enhance their forehand smashes, especially among beginners. Full article
(This article belongs to the Special Issue Performance Analysis in Sport and Exercise Ⅱ)
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<p>The full-body smash control revealed by a skilled player.</p>
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<p>The phase-by-phase comparison of the typical smash performance between novice and skilled players.</p>
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<p>The comparison of positioning effectiveness between novice and skilled players. (<b>a</b>) Positioning of skilled players, (<b>b</b>) Averages and standard deviations of positioning for the two tested groups, (<b>c</b>) Over-positioning observed among novice players, and (<b>d</b>) Improper positioning posture identified among novice players.</p>
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<p>The explosively sequential whip-like smash observed in the skilled group. 1: the initiation of rapid trunk internal rotation (towards the non-smash side), A<sub>1</sub>: the duration of the fast trunk internal rotation; 2: the commencement of swift shoulder internal rotation, A<sub>2</sub>: the duration of the rapid shoulder internal rotation; 3: the start of rapid elbow extension, A<sub>3</sub>: the duration of the quick elbow extension; 4: the beginning of the fast wrist flexion, A<sub>4</sub>: the duration of the fast wrist flexion; and 5: impact with the shuttlecock.</p>
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