A First Approach to Activity Recognition using Topic Models

被引：1
|
作者：
Casale, Pierluigi
Pujol, Oriol
Radeva, Petia
Vitria, Jordi
机构：
[1] Comp Vis Ctr, Bellaterra, Spain
[2] Univ Barcelona, Dep Appl Math & Anal, Barcelona, Spain
来源：
ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT | 2009年 / 202卷
关键词：
Activity Recognition; Topics Models; Wearable Sensors;
D O I：
10.3233/978-1-60750-061-2-74
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：74 / 82
页数：9
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