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Deep, Convolutional, and Recurrent Models for Human Activity Recognition
  using Wearables

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables

29 April 2016
Nils Y. Hammerla
Shane Halloran
T. Plötz
    HAIBDL
ArXiv (abs)PDFHTML

Papers citing "Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables"

4 / 154 papers shown
Title
Efficient Dense Labeling of Human Activity Sequences from Wearables
  using Fully Convolutional Networks
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks
Rui Yao
Guosheng Lin
Javen Qinfeng Shi
Damith C. Ranasinghe
HAIAI4TS
43
6
0
20 Feb 2017
Deep Recurrent Neural Network for Mobile Human Activity Recognition with
  High Throughput
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput
Masaya Inoue
Sozo Inoue
T. Nishida
HAIBDL
51
251
0
11 Nov 2016
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural
  Networks
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks
J. Hannink
T. Kautz
C. Pasluosta
Karl-Gunter Gasmann
J. Klucken
Björn Eskofier
72
160
0
12 Sep 2016
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana
Shafiq Joty
L. Fernández-Luque
Ferda Ofli
Jaideep Srivastava
A. Elmagarmid
S. Taheri
T. Arora
64
204
0
24 Jul 2016
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