Method for identifying human activities based on BP (Back Propagation) neural network in intelligent family environment

Abstract

The invention discloses a method for identifying human activities based on a BP (Back Propagation) neural network in an intelligent family environment. The method for identifying human activities comprises the steps of: firstly labeling the data of various types of human activities, collected by a motion sensor and a project sensor in an intelligent family environment test board, and extracting the characteristics of the labeled data of the sensors; then inputting the extracted characteristic data to a BP neural network model by adopting a 3-fold cross validation method to be trained and identified; and finally comparing the identification result of the human activities based on the BP neural network with a hidden markov model method and a naive bayesian classifier method, wherein the computed result indicates that the identification accuracy is better by adopting the method for identifying human activities based on the BP neural network. According to the method for identifying human activities based on the BP neural network, the data is obtained by the sensors without the need of installing a video camera at the residence. Therefore, the method disclosed by the invention is easy to be accepted by residents, the data of the sensors is easier to process compared with the video data, the working amount is reduced, and privacy of the residents is protected.

Description

technical field [0001] The invention relates to a method for identifying human activities based on the data of different human activities collected by motion sensors and item sensors installed in a smart home environment test bench, in particular to a method based on BP neural networks (Back Propagation Neural Networks) The identification method of human activities is applied in technical fields such as smart home and pattern recognition. Background technique [0002] Smart home is an efficient, comfortable, safe, convenient and environment-friendly living environment based on the residence as a platform, combining construction, network communication, information appliances, equipment automation, and integrating systems, structures, services, and management. Smart home uses advanced computer technology, network communication technology, and integrated wiring technology to organically combine various subsystems related to home life, and through overall management, home life i...

AI Technical Summary

Problems solved by technology

[0007] At present, most of the research on human activity recognition at home and abroad is concentrated in the field of vision-based recognition research. However, for smart homes, many residents think that installing video cameras will violate the privacy of residents, so they do not want to install video cameras in their homes.

Images