基于CNN和GRU的人体活动识别

Human Activity Recognition Based on CNN and GRU

随着智能手机的发展,手机上的传感器越来越多,可以通过使用算法分析手机传感器中的数据,建立模型,识别出人类日常活动[1]。因此提出了一种基于CNN和GRU的模型来进行人类活动识别,使用UCI数据集进行实验,实验的结果优于现在使用单一识别算法的模型。

With the development of smart phones,there are some sensors on mobile phones.Algorithms can be used to analyze the data in the mobile phone sensors and build models to identify human daily activities.Therefore,a model based on CNN and GRU is pro⁃posed for human activity recognition,and the UCI dataset is used for experiments.The results of the experiment are better than the cur⁃rent model using a single recognition algorithm.