Real-time motion online guidance system based on depth model framework
A deep model, guidance system technology, applied in biological neural network models, neural architectures, character and pattern recognition, etc.
Active Publication Date: 2019-09-24
HANGZHOU DIANZI UNIV
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[0110] The present invention will be further described below in conjunction with drawings and embodiments.
[0111] Such as Figure 1-4 As shown, the present invention designs an online sports real-time guidance system with a three-layer basic hierarchical structure based on the shortcomings of existing sports products and the limitations of action recognition solutions. Such as figure 1 As shown in the system architecture diagram, the three basic-level architectures are: basic hardware layer, software service layer, and function display layer. The basic hardware layer is composed of data acquisition equipment and server equipment; the software service layer is composed of five parts: data collection, data management, service provision, model iteration, and motion analysis; the function display layer is divided into APP functions and bracelet functions.
[0112] The basic hardware layer is the bottom cornerstone of the present invention. The data acquisition device provides ...
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The invention discloses a real-time motion online guidance system based on a depth model framework. The real-time motion online guidance system is characterized by comprising three layers of basic-level architecture: a basic hardware layer, a software service layer, and a function display layer, wherein the basic hardware layer consists of data acquisition equipment and server equipment; the software service layer is composed of a data collection unit, a data management unit, a service providing unit, a model iteration unit and a motion analysis unit; and the function display layer is used for displaying an APP function and a bracelet function. The real-time motion online guidance system has the advantages that data acquisition flexibility of the host and the slave is high; the operation is simple; the data accuracy is high; and the real-time performance is good. The real-time motion online guidance system is low in equipment price and high in utilization rate. The data processing method is scientific and not complex, and is easy to move on a smart phone. The real-time motion online guidance system can effectively judge the standard degree of the action of the user, is wide in the application range, and can create high economic values.
Description
technical field [0001] The invention belongs to the fields of wireless sensing technology, computer application technology and data fusion technology, and is a real-time motion online guidance system based on a depth model framework. Background technique [0002] With the improvement of people's living standards, the continuous strengthening of fitness awareness and the country's advocacy of "National Fitness", exercise and fitness are becoming a way of life for people, and people improve their physical fitness in all aspects through fitness. However, non-standard fitness movements not only fail to achieve the fitness effect, but also easily cause damage to the body. And there is not a kind of online motion real-time guidance device suitable for mass fitness at present. [0003] Most of the traditional motion recognition technologies are based on cameras and somatosensory operations to capture images of human motions, and then recognize human motions through algorithmic mod...
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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/044G06N3/045G06F18/2415
Inventor 吕航樊谨刘国攸陈金华黄运杰
Owner HANGZHOU DIANZI UNIV