User behavior real-time analyzing method based on cloud terminal

Abstract

The invention discloses a user behavior real-time analyzing method based on a cloud terminal. The method comprises the following steps that firstly, a plurality of personal devices collect and store data in a wide area network communication environment, secondly, the personal devices receiving user behavior recognition orders send a data analyzing request to the cloud terminal and upload the data to the cloud terminal through a set wireless communication method, thirdly, the cloud terminal stores and visualizes the data, fourthly, the cloud terminal carries out the behavior semantic analysis on the visualized data, stores the analysis result and sends the analysis result to the personal devices. According to the method, the cloud service is combined with the personal device data collection, the device collaboration is achieved, the defects of the personal devices in the aspect of the data analysis are overcome, the effective using of the personal devices is enhanced, the burden of application developers in the aspect of the data analysis is relieved, and the quality of the data analysis is improved.

Description

technical field [0001] The invention relates to the field of information processing and exchange, in particular to a cloud-based real-time analysis method for user behavior. Background technique [0002] With the development of economy and society and the progress of science and technology, people have more and more electronic devices. In daily life, users often carry multiple personal devices, such as smart phones, tablet computers, smart watches, smart glasses, and the like. These personal devices perform certain functions and can improve people's quality of life. However, the computing power of various devices is limited by energy consumption and size, and is often not strong. Data processing on the device itself will greatly consume device resources and cannot guarantee the processing speed; and data processing often needs to involve Machine learning knowledge has a high threshold. For ordinary application developers, this is a huge development burden and requires a lo...

AI Technical Summary

Problems solved by technology

However, the communication capabilities of different devices vary. For example, smart phones can transmit data through mobile networks or wireless networks and have relatively strong communication capabilities; however, wearable devices such as brain wave collectors often do not have strong communication capabilities. Communication capability, data transmission can only be carried out by short-distance communication such as Bluetooth

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