Ontology highlight
ABSTRACT:
SUBMITTER: Chambers RD
PROVIDER: S-EPMC7249062 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Chambers Robert D RD Yoder Nathanael C NC
Sensors (Basel, Switzerland) 20200428 9
In this paper, we present and benchmark FilterNet, a flexible deep learning architecture for time series classification tasks, such as activity recognition via multichannel sensor data. It adapts popular convolutional neural network (CNN) and long short-term memory (LSTM) motifs which have excelled in activity recognition benchmarks, implementing them in a many-to-many architecture to markedly improve frame-by-frame accuracy, event segmentation accuracy, model size, and computational efficiency. ...[more]