A First Approach to Activity Recognition using Topic Models

Authors:
Pierluigi Casale;Oriol Pujol;Petia Radeva;Jordi Vitrià
Affiliations:
Computer Vision Center, Bellaterra, Spain and Dep. of Applied Mathematics and Analysis, University of Barcelona, Spain;Computer Vision Center, Bellaterra, Spain and Dep. of Applied Mathematics and Analysis, University of Barcelona, Spain;Computer Vision Center, Bellaterra, Spain and Dep. of Applied Mathematics and Analysis, University of Barcelona, Spain;Computer Vision Center, Bellaterra, Spain and Dep. of Applied Mathematics and Analysis, University of Barcelona, Spain
Venue:
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Year:
2009

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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.