Every element of modern life, including teaching, is rapidly being impacted by artificial intelligence (AI). Through evaluations of academic stability or termination, AI can also offer learners extra support. Even though AI research is still in its infancy, it is important to monitor how it develops and realises its promise over time. We can improve AI's potential for usage in sports activities and modify the nature of physical education (PE), its visualisation, and its consistency. This study analyses the principles and uses of AI in physical education and provides a targeted, in-depth review of the areas of PE innovation where AI might be used, including personalised PE programmes, knowledge distribution, cloud computing, grid management practices, learner assessment, and learner counselling techniques. Our findings show how skilled in applying AI future PE teachers must be. Considering practise implications, this study discusses how AI innovations are impacting all areas of life, including physical education; it emphasises the significance of AI technologies to PE devices based on previous research; it suggests that the consequences of AI for PE may relate to other educational domains; and eventually, it adds to the body of existing publications and discusses potential directions for future research on AI tools in education and sporting activities.

Badminton is an individual and a team sport that consist of two or four people, respectively, with high intensity in a short-duration based on the tempo of the game. Badminton requires more technique, coordination among eye and hand, and general physical fitness. It is the most popular sport in the world. This study focuses on the Necessity of the game, the Psychological Needs of a player, Badminton Skills, and the Tactical of badminton. Tall and Lean Players with an athletic body will be able to cover that entires game with full capacity to play without fatigue. Players need to be very cautious which requires psychological training to control the game under high pressure from the opponents. Players have to be very quick in making decisions during competition. This review will help the future researcher to update and to cover the required data.

Kinematic analysis is crucial in sports science and biomechanics for optimizing performance and helping in rehabilitation. This study compares fifteen kinematic analysis tools, namely Siliconcoach, Kinovea, Templo by Contemplas, Gaiton, Helix 3D By Rundna, Dartfish, Coach’s Eye, Vicon, Motion Analysis Corporation, Noraxon Myoresearch, Qualisys, Pro-Trainer, Xsens, Simi Motion, And Shutter Precision. The comparison focuses on performance benchmarks, usability, accuracy, reliability, and cost-effectiveness. High-end systems like Vicon and Qualisys excel in precision and real-time data processing, ideal for research and professional use, while tools like Coach’s Eye offer accessible yet less precise analysis suitable for general coaching. Usability varies, with Kinovea and Dartfish noted for their user-friendly interfaces, while advanced systems require more extensive training. Accuracy is critical, with top systems providing high precision through sophisticated technologies. Cost varies widely, from free tools like Kinovea to premium systems like Vicon. This study provides valuable insights for selecting the most appropriate scientific tools and methods

Badminton is a fast-paced sport that requires not only physical fitness but also strong mental skills like anticipation and quick decision-making. This study introduces a new training method called “One-Way Mirror Perceptual Training”, which uses a one-way mirror to block players' view of their opponent, forcing them to rely on their perception and reaction skills instead of visual cues. Twenty male badminton players aged 13-25 were divided into two groups: an experimental group that received the special training for six weeks and a control group that continued with regular practice. The training focused on improving agility, reaction time, coordination, and accuracy. Performance was measured before and after the training using tests like the Four Corner Run Test (FCRT) and agility drills. The experimental group showed significant improvement, with faster reaction times, better movement, and higher performance scores, while the control group had little change. These results suggest that the One-Way Mirror Perceptual Training helps players improve their mental and physical skills, making them more prepared for high-level competition. This study highlights the importance of including perceptual training in badminton and suggests that similar methods could be useful in other fast-paced sports.

The objective of this research was to conduct a comprehensive analysis of Leg Length Discrepancy (LLD) among in young badminton players with the aim of mitigating back discomfort and reducing injuries in their current training environments. Numerous studies have established a connection between LLD and various musculoskeletal issues in different sports, causing asymmetrical gait and low back pain. Consequently, many players find their daily routines disrupted, leading to burnout or dropout from the sport. To assess the current situation, this study focused on 1502 young badminton players aged 9–12 from the states of Tamil Nadu and Puducherry. LLD can be challenging to diagnose and treat, especially in growing children, and various methods and equipment are available for assessment. In this research, the "Delta Leg" (DL) measuring tool was employed, measuring discrepancies from millimeters to centimeters. The 0–10 Numeric Pain Rating Scale was used to determine the level of pain. The analysis involved the application of percentage techniques (P = n × 100 / N) and Pearson correlation. The results indicated that 218 (15%) of the players had equal-length lower limbs, while 1284 (85%) exhibited LLD in varying degrees. Among the LLD players, 354 (24%) had discrepancies greater than 1 cm, 753 (50%) had discrepancies less than 1–2 cm, 171 (11%) had discrepancies less than 2–3 cm, and 6 (0.40%) had discrepancies less than 3 cm. LLD was notably prevalent among young badminton players aged 9 to 12, warranting careful attention. Even mild LLD should not be overlooked, emphasizing the importance of coaches, physiotherapists, physical education instructors, and doctors in closely monitoring players' leg mechanics. Immediate corrective actions are essential, and continuous monitoring is imperative, because LLD may necessitate intervention before reaching skeletal maturity. The use of insoles is recommended to alleviate muscular and/or joint problems and gait issues in players. Additionally, some players with equal leg lengths exhibited pronation and supination in their ankles, suggesting the need for future research to explore other lower limb issues experienced by badminton players.

The present study focus on the examination of the selected muscle power by the maximal voluntary effort (MVE) for national-level participated Bodybuilders and Weightlifters (BB and WL). This study analyzed the muscle power of experienced BB and WL with one of the technically approved low-cost myoware muscle sensor. The subjects were n=10 male BB and n=10 male WL i.e. a total of N=20 subjects were selected from the Tamil Nadu region. The myoware muscle sensor (MMS) of the biceps brachii and triceps brachii muscles during the MVE was recorded. The MMS surface electrodes were placed at the motor point of each muscle during MVE the muscular activity was stored by the data logger (Arduino UNO) and the results were gathered from the data acquisition system. The collected data were analysed in a T-test by computer-based software SPSS. The data analyzed for the biceps extension (BE) showed that out of the chosen subjects, the MVE of BB (55%) was slightly better than WL (45%), the biceps flexion (BF) showed that out of the chosen subjects, the MVE of BB (52%) was slightly better than WL (48%), the triceps extension (TE) showed that out of the chosen subjects, the MVE of WL (53%) was slightly better than BB (47%), the triceps flexion (TF) showed that out of the chosen subjects, the MVE of WL (55%) was slightly better than BB (45%). The muscle power level of experienced BB and WL showed no significant changes during the MVE task (contraction), except that the MMS values were slightly higher in BB than the WL in the Biceps brachii muscle and the WL had better triceps brachii muscle power than the BB.