Recognizing Human Activity in Smart Home Using Deep Learning algorithm

摘要：

　　There is a topic of interest for many researchers about human activities recognition in recent years.In this paper,we propose the research to recognize human activities by deep learning(DL)algorithm.We collected the data from participants performing activities in order to evaluate the human activities recognition results.After pre-training the deep network,the fine-tuning process begins.Compared with Hidden Markov Model(HMM)and na(i)ve Bayes Classifier(NBC),the experiment results show that the proposed deep learning algorithm is an effective way for recognizing human activities in smart home.

关键词： Smart home activity recognition Deep Learning algorithm Deep Belief networks Restricted Boltzmann machine

作者: FANG Hongqing HU Chen

作者单位: College of Energy and Electrical Engineering,Hohai University,Nanjing 211100

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4716-4720

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）