The use of pervasive sensing for behaviour profiling - a survey

被引:107
作者
Atallah, Louis [1 ]
Yang, Guang-Zhong [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London, England
基金
英国工程与自然科学研究理事会;
关键词
Behaviour; Sensor networks; Pervasive sensing; Probabilistic models; HIDDEN MARKOV-MODELS; HUMAN ACTIVITY RECOGNITION; PHYSICAL-ACTIVITY; MOTION; SURVEILLANCE; COMPUTER; SYSTEM; REPRESENTATION; COMPUTATION; TECHNOLOGY;
D O I
10.1016/j.pmcj.2009.06.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the maturity of sensing and pervasive computing techniques, extensive research is being carried out in using different sensing techniques for understanding human behaviour. An introduction to key modalities of pervasive sensing is presented. Behaviour modelling is then highlighted with a focus on probabilistic models. The survey discusses discriminative approaches as well as relevant work on behaviour pattern clustering and variability. The influence of interacting with people and objects in the environment is also discussed. Finally, challenges and new research opportunities are highlighted. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:447 / 464
页数:18
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