IEEE - Institute of Electrical and Electronics Engineers, Inc. - Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Author(s): Tahmina Zebin ; Matthew Sperrin ; Niels Peek ; Alexander J. Casson
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2018
Conference Location: Honolulu, HI, USA
Conference Date: 18 July 2018
Page(s): 1 - 4
ISBN (Electronic): 978-1-5386-3646-6
ISBN (USB): 978-1-5386-3645-9
ISSN (Electronic): 1558-4615
DOI: 10.1109/EMBC.2018.8513115
Regular:

In recent years machine learning methods for human activity recognition have been found very effective. These classify discriminative features generated from raw input sequences acquired from... View More

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