Unsupervised Activity Recognition with User's Physical Characteristics Data

Abstract

This paper proposes an activity recognition method that models an end user's activities without using any labeled/unlabeled acceleration sensor data obtained from the user. Our method employs information about the end user's physical characteristics such as height and gender to find other users whose sensor data prepared in advance may be similar to those… (More)
DOI: 10.1109/ISWC.2011.24

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