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User behavior predicting method in intelligent home

A prediction method and technology of smart home, applied in the direction of home automation network, data exchange through path configuration, digital transmission system, etc., can solve the problems of staying in the superficial stage, more emphasis, and need to be further improved.

Active Publication Date: 2017-09-15
常州百芝龙智慧科技有限公司
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  • Summary
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AI Technical Summary

Problems solved by technology

However, in daily work and life, especially in the smart home of family life, the practical application of artificial intelligence is still at the superficial stage, and more emphasis is placed on the Internet of Things and home appliance control. The sweeping robot automatically cleans when no one is at home, so the existing smart home system still stays on simple electrical switch control, and the user experience needs to be further improved

Method used

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  • User behavior predicting method in intelligent home

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Embodiment Construction

[0036] like image 3 As shown, the present invention collects data by sensor and infers the method for the trend of user's future behavior demand, it is characterized in that, comprises the following steps:

[0037] Step 1. Obtain the identity of the user through one or more sensors arranged at a fixed position in a limited space, and collect various characteristic data of the user after the identity is identified;

[0038] Step 2: After the sensor acquires the data, it classifies the data into dimensions (including but not limited to these four dimensions) such as images, sounds, gestures (including continuous gestures), and positions, and associates the logic with the timeline, and then sends it to backend system;

[0039] Step 3: The background system performs comprehensive data cleaning, mining, and comparison with relevant data at the next time point based on all dimension data acquired at the same time point, and at the same time predicts that the user may make a decisi...

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Abstract

The invention provides a user behavior predicting method in intelligent home. The method comprises the steps that one or more sensors are set indoors; the user identity is identified through data acquired by the sensor; the characteristic data of the user are collected; the data acquired by the sensor are classified into image, sound, attitude and position dimension; the time line associated logic is used; the data are sent to a background system; the background system carries out comprehensive data cleaning and mining according to all dimension data acquired at the same time point, compares the data with the relevant data of a next time point, and predicts the behavior or demand of the user at a future time point; and after the user reaches the future time point, the system recalculates the pre-judgment made before according to all dimension data acquired at the time point.

Description

technical field [0001] The invention belongs to the technical field of smart home, and in particular relates to a user behavior prediction method in smart home. Background technique [0002] In recent years, the development of artificial intelligence has advanced by leaps and bounds. Thanks to the rapid development of Internet big data and cloud computing, deep learning has become the core driver of the development of artificial intelligence. However, in daily work and life, especially in the smart home of family life, the practical application of artificial intelligence is still at the superficial stage, and more emphasis is placed on the Internet of Things and home appliance control. The sweeping robot automatically cleans when no one is at home, so the existing smart home system still stays on simple electrical switch control, and the user experience needs to be further improved. Contents of the invention [0003] A method for predicting user behavior in a smart home, ...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/28
CPCH04L12/2803H04L41/147
Inventor 叶伟
Owner 常州百芝龙智慧科技有限公司
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