Human body food intake evaluation system and method based on regression analysis
A technology of food intake and regression analysis, applied in neural learning methods, physical implementation, biological neural network models, etc., can solve the problems that users are difficult to keep record of diet for a long time, diet evaluation cannot achieve sufficient results, and records are not necessarily accurate, etc. , to achieve the effect of improving user experience, strong real-time and safety, and improving diet quality
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[0028] The principles and features of the present invention will be described below with reference to the accompanying drawings.
[0029] like figure 1 As shown, it is a schematic structural diagram of a regression analysis-based human food intake evaluation system, including a dietary data acquisition sensor 100 , an FPGA sensor data processing platform 200 and a background server 300 . The diet data acquisition sensor 100 is used to collect the daily diet data information of the user; the diet data acquisition sensor and the FPGA sensor data processing platform are connected through various interface modules, and the data is sent to the FPGA sensor data processing platform 200 for processing; The FPGA sensing data processing platform 200 on the edge side establishes a communication connection with the backend server 300 in the cloud through a network cable, and sends the processed information to the backend server 300; the backend server 300 compares the dietary data of thes...
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