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论文类型：会议论文

发表时间：2013-07-04

收录刊物：EI、Scopus

卷号：7952 LNCS

期号：PART 2

页面范围：473-480

摘要：Human behaviors monitoring by using wireless sensor networks has gained tremendous interest in recent years from researchers in many areas. To distinguish behaviors from on-body sensor signals, many classification methods have been tried, but most of them lack the relearning ability, which is quite important for long-term monitoring applications. In this paper, a relearning probabilistic neural network is proposed. The experimental results showed that the proposed method achieved good recognition performance, as well as the relearning ability. ? 2013 Springer-Verlag Berlin Heidelberg.