Context Cells: Towards Lifelong Learning In Activity Recognition Systems
EuroSSC'09: Proceedings of the 4th European conference on Smart sensing and context(2009)
摘要
A robust activity and context-recognition system must, be capable of operating over, a long period of time, exploiting new sources of information as they become available and evolving in an autonomous manner, coping with user variability and changes in the number and type of available sensors. In particular, wearable and ambient nodes should be trained lifelong, as new context instances naturally arise, and the labeling of the instances should be carried out ideally with no user intervention, In this paper we show by means of all experiment and simulations that we call indeed achieve lifelong learning and automatic labeling by using Context Cells, an architecture capable of sensing, learning, classifying data and exchanging information.
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关键词
available sensor,lifelong learning,new context instance,new source,user intervention,user variability,Context Cells,ambient node,autonomous manner,classifying data,activity recognition system,context cell
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