Embedded-based intelligent training support control method for fitness equipment

Abstract

The invention belongs to the technical field of fitness equipment control, and discloses an embedded-based intelligent training support control method for a set of fitness equipment, the long-term observation and analysis of the physical health of the users using the sports fitness equipment are conducted, and students are guided to perform physical exercises scientifically according to the national standards so that physical fitness of the students can reach health standards; meanwhile, the accumulated data can be used for scientific researches of adolescent physical fitness and sports, health and disease and the like. The method allows consumers to enjoy top-notch personal trainer services without any additional costs so that ordinary consumers can acquire benefits and enjoyments from fitness. Coherent and complete fitness records are established for the consumers, so the consumers can visually see the changes of their physical fitness and enhance their confidence in fitness.

Description

technical field [0001] The invention belongs to the technical field of fitness equipment control, and in particular relates to an embedded intelligent training support control method for fitness equipment. Background technique [0002] Fitness is a kind of sports, such as various freehand aerobics, rhythmic gymnastics, gymnastics and various self-resistance movements. Gymnastics can enhance strength, flexibility, increase endurance, improve coordination, and control the ability of various parts of the body, so that the body can strong. However, the existing fitness equipment cannot carry out intelligent analysis systems for different physiques and exercise data, and cannot perform functions such as information collection, data analysis, and scientific guidance; if the fitness effect in a fitness club is poor, the fitness cost is high. [0003] With the rapid development of wireless communication technology, the scarcity of spectrum resources has become a bottleneck for upgr...

AI Technical Summary

Problems solved by technology

At present, the cooperative spectrum sensing technology based on genetic algorithm and the cooperative spectrum sensing technology based on particle swarm algorithm are commonly used. Although the cooperative spectrum sensing technology of the group algorithm can search for the optimal solution more effectively, its performance needs to be further improved

[0004] To sum up, the problems existing in the existing technology are: the existing fitness equipment cannot conduct intelligent analysis systems for different physical fitness and exercise data, and cannot perform functions such as information collection, data analysis, and scientific guidance.

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