Activity Recognition from Accelerometer Data.
IAAI'05: Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3（2005）
摘要
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classification problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
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关键词
activity recognition,user activity,Plurality Voting,accelerometer data,base-level classifier,bigger framework,classification problem,context awareness,different setting,meta-level classifier
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