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Sequential Weakly Labeled Multi-Activity Localization and Recognition on
  Wearable Sensors using Recurrent Attention Networks
v1v2v3 (latest)

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks

IEEE Transactions on Human-Machine Systems (IEEE Trans. Hum.-Mach. Syst.), 2020
13 April 2020
Kun Wang
Jun He
Guang Dai
    HAI
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks"

4 / 4 papers shown
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall
  Activity Annotations from Wearable Sensors
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors
Alexander Hoelzemann
Kristof Van Laerhoven
161
12
0
15 May 2023
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity
  Recognition in the Wild
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the WildInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Yujiao Hao
Boyu Wang
Rong Zheng
330
7
0
03 Mar 2023
Accoustate: Auto-annotation of IMU-generated Activity Signatures under
  Smart Infrastructure
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
S. Chatterjee
A. Singh
Bivas Mitra
Sandip Chakraborty
171
3
0
08 Dec 2021
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition
  Using Wearable Sensors
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Wenbin Gao
Lei Zhang
Qi Teng
Jun He
Hao Wu
HAI
335
170
0
25 Jun 2020
1
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