Human Activity Recognition Based on Wearable Sensor Using Hierarchical Deep LSTM Networks
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Title
Human Activity Recognition Based on Wearable Sensor Using Hierarchical Deep LSTM Networks
Authors
Keywords
Human activity recognition, Acceleration sensor, Recurrent neural network (RNN), Long short-term memory (LSTM)
Journal
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-18
DOI
10.1007/s00034-019-01116-y
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- (2008) S.J. Preece et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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