User clustering and analysis method using body composition big data, and system thereof

A user clustering and analysis system using body composition big data, the system comprising:

• a body composition analyzer comprising:
• a sensor unit provided with an electrode sensor and an automatic zero-point compensation load cell, and
• a handle unit provided with a pair of thumb electrodes for contacting both thumbs of a user;
• wherein the body composition analyzer is configured to analyze a body composition of the user as the user uses the body composition analyzer, and transmit analyzed body composition data of the user to a user terminal;
• the user terminal configured to receive the analyzed body composition data from the body composition analyzer;
• and
• a service provider server configured to (i) analyze the analyzed body composition data accumulated for a predetermined period of time, (ii) assign a cluster that is a group of similar body composition by:
• generating a big data map by extracting body composition big data corresponding to a country, a gender, and an age of the user from entire body composition big data,
• dividing a Body Mass Index (BMI) section into a plurality of stages on the big data map,
• dividing a Percentage Body Fat (PBF) from the big data map included in each divided BMI stage into a plurality of regions to generate a cluster classification map comprising a plurality of coordinate regions each having a unique address, wherein each coordinate region is mapped to one of a plurality of clusters,
• retrieving the cluster classification map corresponding to the gender and the age of the user,
• determining a coordinate region of the plurality of coordinate regions to which the user belongs based on the analyzed body composition data, and
• assigning the cluster mapped to the coordinate region to the user, and
• (iii) provide the cluster to the user terminal;
• and
• wherein the user terminal is further configured to:
• display, on a display screen of the user terminal, based on the cluster being assigned, a cluster template including a position of the user on the big data map, a cluster name and an illustration corresponding to the cluster assigned to the user, wherein the cluster template is set in advance in response to the cluster, wherein the cluster name is assigned differently depending on the age and the gender of the user even when a same cluster address is present,
• wherein the position of the user on the big data map included in the cluster template is displayed by:
• distributing all users having the gender and the age of the user on the big data map having BMI and PBF as axes,
• displaying BMI mode bands and PBF mode bands on the big data map, and
• providing position information of the user by displaying the analyzed body composition data of the user on the big data map.