计算机工程2019，Vol.45Issue(2)：1-6,6.DOI:10.19678/j.issn.1000-3428.0049937
基于传感器距离的实时用户活动识别建模方法
Real-time User Activity Recognition Modeling Method Based on Sensor Distance
摘要
Abstract
Aiming at the shortcomings of traditional user activity recognition modeling method with insufficient accuracy under real-time requirements,an improved real-time user activity recognition modeling method is proposed. The method constructs the sensor trigger probability matrix using the labeled sensor event flow data,and calculates the sensor distance. As a prior knowledge of modeling,the sensor events are given different weights in the subsequent modeling process. According to the intrinsic meaning of sensor distance,the location of activity transfer is judged,and the current activity is modeled by inferring the last activity as a new feature dimension through probability matrix. Experimental results on the three public datasets of Aruba,Tulum2010 and HH106 show that compared with SWMI,SWMIex and other methods,the proposed modeling method can increase the accuracy and F1 by more than 10％.关键词
活动识别/特征提取/先验知识/滑动窗口/传感器距离/互信息Key words
activity recognition/feature extraction/priori knowledge/sliding window/sensor distance/Mutual Information (MI)分类
信息技术与安全科学引用本文复制引用
曹浩哲,张鹏,卢暾,顾寒苏,顾宁..基于传感器距离的实时用户活动识别建模方法[J].计算机工程,2019,45(2):1-6,6.基金项目
国家重点研发计划(2016YFB1001404). （2016YFB1001404）
