Title
Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition.
Abstract
•We propose a representation based on Fuzzy Temporal Windows for binary-sensors.•Long Short-Term Memory is deployed as a means of sequence classifier.•A balanced training is included to build an ensemble of activity-based classifiers.•The proposed approach is evaluated and benchmarked against previous approaches.
Year
DOI
Venue
2018
10.1016/j.eswa.2018.07.068
Expert Systems with Applications
Keywords
Field
DocType
Activity recognition,Fuzzy temporal windows,Long short-term memory,Unbalanced data,Ensemble architectures
Feature vector,Ensembles of classifiers,Activity recognition,Computer science,Fuzzy logic,Long short term memory,Recurrent neural network,Artificial intelligence,Classifier (linguistics),Machine learning,Binary number
Journal
Volume
ISSN
Citations 
114
0957-4174
3
PageRank 
References 
Authors
0.66
38
4
Name
Order
Citations
PageRank
Javier Medina Quero1134.72
Shuai Zhang2439.10
Chris D. Nugent31150128.39
Macarena Espinilla425227.02