PT Unknown
AU Pierluigi Casale
   Oriol Pujol
   Petia Radeva
   Jordi Vitria
TI A First Approach to Activity Recognition Using Topic Models
BT 12th International Conference of the Catalan Association for Artificial Intelligence
PY 2009
BP 74
EP 82
VL 202
DI 10.3233/978-1-60750-061-2-74
AB 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.
ER