Indexed by:会议论文
Date of Publication:2013-07-04
Included Journals:EI、Scopus
Volume:7952 LNCS
Issue:PART 2
Page Number:473-480
Abstract: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.
Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:控制科学与工程学院副院长
Other Post:辽宁省药学会专委会副主委、大连市中西医结合学会医学人工智能专委会副主委、中国电子教育学会高等教育分会理事
Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:控制科学与工程学院
Discipline:Control Theory and Control Engineering
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