DEVELOPMENT OF A METHODOLOGY FOR CONTROLLING THE TECHNICAL AND SPEED-POWER TRAINING OF ROWERS USING INTELLIGENT SENSOR SYSTEMS: Murodov Kamoliddin Nuriddinovich, Doctor of philosophy (PhD), National University of Uzbekistan after name Mirzo Ulugbek
This paper presents a methodology for monitoring the technical and speed-power training of rowers using intelligent sensor systems. The methodology involves the use of motion sensors, analyze, and evaluate a rower’s performance. The proposed methodology focuses on three main areas: technical training, power training, and speed training. The methodology uses machine learning algorithms to analyze the data obtained from the sensors and provide feedback on the rower’s performance. The feedback can be used by coaches to design training plans and improve the rower’s technique, power output, and speed. The proposed methodology has the potential to enhance the technical and physical abilities of rowers.
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