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Method for predicating daily behavior of person in smart home environment

A technology of smart home and prediction method, which is applied in the direction of instruments, adaptive control, control/regulation systems, etc., and can solve problems such as inability to realize rapid identification, user privacy damage, etc.

Inactive Publication Date: 2019-04-19
NANTONG UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0002] People’s daily behavior prediction method in the smart home environment, the existing technology is to use the camera to identify behavior through image recognition technology, this method will cause damage to user privacy in terms of daily behavior
The main problem existing in the existing sensor-based recognition method is that it cannot realize fast recognition

Method used

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  • Method for predicating daily behavior of person in smart home environment
  • Method for predicating daily behavior of person in smart home environment

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Embodiment Construction

[0035] A method for predicting people's daily behavior in a smart home environment, comprising the following steps:

[0036] Step 1: Behavior data preprocessing: Daily behavior recognition needs to use existing historical behavior data sets to establish a behavior model and label the data, which is generated by sensors;

[0037] Step 1.1: Data format processing, adjust the original sensor data format to ; timeStamp is the time when the sensor data was generated, sensorID is the sensor number, and the value range (0 – N) N is the total number of sensors; sensorValue is the sensor reading; Activity behavior label, can be empty;

[0038] Step 1.2: Delete records with incomplete data in the dataset, including records with empty sensorValue;

[0039] Step 1.3: Normalization of sensor data. Map temperature (D temp ), light sensor data (D light ) to [0, 1] space;

[0040] Step 1.4: Calculate the minimum value Min temp and the maximum value Max temp of the temperature data, the norma...

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Abstract

The invention discloses a method for predicating a daily behavior of a person in a smart home environment. The method comprises the steps of 1, performing behavior data preprocessing, namely establishing a behavior model by means of an existing historical behavior data set in daily behavior identification, marking the data which are generated by a sensor; 2, establishing the behavior model according to a logic regression algorithm; and 3, performing real-time behavior prediction, namely performing real-time behavior prediction by means of a model established in the step 2, wherein the model isused for predicating the sliding window lengths and behavior predicating speeds of different behaviors. The method can realize quick identification and is mainly applied to daily behavior predictionin the smart home environment.

Description

technical field [0001] The invention relates to a method for predicting people's daily behavior in a smart home environment. Background technique [0002] A method for predicting people's daily behavior in a smart home environment. The existing technology is to use a camera to identify behavior through image recognition technology. This method will cause damage to user privacy in terms of daily behavior. The main problem existing in the existing sensor-based recognition methods is that they cannot realize fast recognition. Contents of the invention [0003] The purpose of the present invention is to provide a method for predicting people's daily behavior in a smart home environment that can realize rapid identification. [0004] Technical solution of the present invention is: [0005] A method for predicting people's daily behavior in a smart home environment is characterized in that it includes the following steps: [0006] Step 1: Behavior data preprocessing: Daily be...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 万杰
Owner NANTONG UNIVERSITY
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