Consequences of Artificial Intelligence Driven Biomechanical Analysis of Yoga Movements to Improve Athletic Endurance Agility and Recovery

Abstract This study explores the role of consequences of artificial intelligence (AI) in analyzing biomechanical movements during yoga practice to improve athletic endurance, agility and recovery. AI algorithms are employed to provide real time feedback and data on movement efficiency, posture alignment, and muscle engagement, allowing athletes to optimize their yoga practice for better performance in sports. The study uses a controlled experimental design, analyzing three dependent variables endurance, agility, and recovery with athletes. In order to achieve the purpose of the study sixty sports club track and field male athletes were randomly selected from Dindigul district sports clubs and they were equally divided in to two groups of ten each as experimental group and control group. Experimental group receiving AI assisted yoga training and the other following control group traditional methods. Statistical analyses, including ANCOVA and Scheffe post hoc tests, were conducted to assess the impact of AI driven interventions.