Investigation and Analysis of the Status Quo of Competitive Aerobics Based on the Big Data of the Internet of Things

Abstract

Big data refers to a large amount of diverse digital information that requires new processing modes to have higher decision-making power. Big data is known for its large capacity, complex types, and high application value. At present, big data is also considered as a modern service technology. The Internet of Things technology originated from the third scientific and technological revolution, which refers to the connection of objects and networks through information sensor devices according to agreed protocols. Competitive aerobics is a sport that can perform continuous, complex, and high-intensity complete sets of movements under the accompaniment of music. The complete set of competitive aerobics combines four sets of difficulty to demonstrate the strength, balance, and flexibility of the athletes, and through the continuous combination of movements, it shows the diversity of the seven steps of competitive aerobics and the coherence of the calisthenic movements. The purpose of this paper is to investigate the current situation of competitive aerobics based on the big data of the Internet of Things. It is expected that, through the IoT and big data technology, the current situation of aerobics competition will be investigated and analyzed, the current industry situation will be analyzed, and the scientific and reasonable training methods of competitive aerobics will be explored. This paper uses a questionnaire to investigate the competitive aerobics, analyzes the problems and deficiencies reflected in the questionnaire, and proposes feasible countermeasures. The experimental results of this paper show that there are 20 coaches with undergraduate education, accounting for 49%. Therefore, in the recruitment of coaches, education and experience must be combined; it is normal for athletes to train 2–3 times a day, and the training frequency can be adjusted according to individual circumstances.