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A First Approach to Activity Recognition using Topic Models
Pierluigi Casale, Oriol Pujol, Petia Radeva, Jordi Vitrià
74 - 82
10.3233/978-1-60750-061-2-74
Frontiers in Artificial Intelligence and Applications
Volume 202: Artificial Intelligence Research and Development
Abstract

In this work, we present a first approach to activity patterns discovery by mean of topic models. Using motion data collected with a wearable device we prototype, TheBadge, we analyse raw accelerometer data using Latent Dirichlet Allocation (LDA), a particular instantiation of topic models. Results show that for particular values of the parameters necessary for applying LDA to a countinous dataset, good accuracies in activity classification can be achieved.

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