Name
Title | ||
|---|---|---|
COMPASS: Unsupervised and online clustering of complex human activities from smartphone sensors |
Abstract | ||
|---|---|---|
•Heterogeneous smartphone sensors are used to infer human complex activities.•COMPASS is an unsupervised and online solution to identify the user context.•It overcomes the state-of-the-art clustering algorithms in terms of ARI and Purity.•The algorithm can be entirely executed on resource-constrained devices. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115124 | Expert Systems with Applications |
Keywords | DocType | Volume |
Context-awareness,Unsupervised machine learning,Online clustering,Mobile computing | Journal | 181 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mattia Giovanni Campana | 1 | 13 | 2.64 |
| Franca Delmastro | 2 | 211 | 19.88 |