Activity Recognition from Accelerometer Data

Nishkam Ravi, Nikhil Dandekar, Preetham Mysore, Michael Littman

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.

Subjects: 1. Applications

Submitted: Apr 2, 2005


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