Incremental new actions learning system with limited cost and storage

2015 International Symposium on Consumer Electronics (ISCE)（2015）

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摘要

In the future robotic applications, robot requires the ability not only to recognize human actions but also to learn incrementally and quickly. Therefore, we proposed an incremental action learning system for this future requirement. The proposed system can continuously learn new actions quickly with robust performance and less effort.

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关键词

Action recognition,Incremental learning,new class learning,Nearest class mean classification,representative data selection

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