Name
Title | ||
|---|---|---|
Online updating extended belief rule-based system for sensor-based activity recognition |
Abstract | ||
|---|---|---|
•Propose an eigendecomposition-based method to select sensors in a high-efficiency way.•Propose a domain division-based method to update rules in a high-efficiency way.•Propose an online updating EBRBS for achieving activity recognition more efficiently.•Experiments show the proposed EBRBS has a high accuracy and excellent response time. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115737 | Expert Systems with Applications |
Keywords | DocType | Volume |
Extended belief rule base,Online model updating,Feature selection,Activity recognition,Smart environment | Journal | 186 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long-Hao Yang | 1 | 0 | 1.01 |
| Jun Liu | 2 | 644 | 56.21 |
| Ying-Ming Wang | 3 | 3256 | 166.96 |
| Chris D. Nugent | 4 | 1150 | 128.39 |
| Luis Martínez | 5 | 2667 | 109.59 |