Intelligent physical fitness management system

Abstract

The invention discloses an intelligent physical fitness management system. The system comprises a human-machine operation module, a video acquisition module, a motion state acquisition module, a dataprocessing module, an action standard judgment module, an action guidance suggestion output module, a motion state evaluation module, a fitness plan decision making module, a voice/video call module and a central processing unit. With the system of the invention adopted, the automatic determination and guidance of body building movements are realized; the repeated observation and understanding ofthe actions by body builders can be greatly facilitated; body building efficiency can be improved; the movements can be more standardized; the workload of coaches can be reduced; and the system has amovement condition monitoring and evaluation function, and therefore, targeted fitness plans can be generated according to different users.

Description

technical field [0001] The invention relates to the field of physical fitness, in particular to an intelligent physical fitness management system. Background technique [0002] Existing fitness management mostly selects fitness programs based on user demands. Since most people do not know their physical conditions very well, it is easy to happen that the fitness program is not suitable, which greatly affects the fitness effect. [0003] At the same time, most of the existing fitness training uses the mode of observation and guidance by the coach on the spot, or the collection of fitness videos by cameras, and then after the fitness is over, the coach conducts observation and guidance. Most of them can only rely on self-experience and comprehension. The efficiency of training is extremely low, and it is easy to cause irregular movements of most people; at the same time, the physical condition of athletes cannot be monitored in real time during the whole training process, whic...

AI Technical Summary

Problems solved by technology

[0002] Existing fitness management mostly selects fitness programs based on the needs of users. Since most people do not know their physical conditions very well, it is easy to happen that the fitness program is not suitable, which greatly affects the effect of fitness.

[0003] At the same time, most of the existing fitness training uses the mode of observation and guidance by the coach on the spot, or the collection of fitness videos by cameras, and then after the fitness is over, the coach conducts observation and guidance. Most of them can only rely on self-experience and comprehension. The efficiency of training is extremely low, and it is easy to cause irregular movements of most people; at the same time, the physical condition of athletes cannot be monitored in real time during the whole training process, which can easily lead to excessive exercise and cause damage to the body

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