%0 Conference Proceedings
%T A First Approach to Activity Recognition Using Topic Models
%A Pierluigi Casale
%A Oriol Pujol
%A Petia Radeva
%A Jordi Vitria
%B 12th International Conference of the Catalan Association for Artificial Intelligence
%D 2009
%V 202
%@ 978-1-60750-061-2
%F Pierluigi Casale2009
%O OR;MILAB;HuPBA;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1231), last updated on Tue, 17 Dec 2013 13:25:02 +0100
%X 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.
%U http://dx.doi.org/10.3233/978-1-60750-061-2-74
%P 74-82