Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition — M. Yao (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition
Shared by
Aiguo Song
Southeast University
WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition
Article
2025
en
Authors
+2 more
MY
M. Yao
LZ
Lei Zhang
DC
Dongzhou Cheng
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2022
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation
Wenbo Huang
,
Lei Zhang
,
Shuoyuan Wang
,
Hao Wu
,
Aiguo Song
Article
2024
Robust Human Activity Recognition via Wearable Sensors Using Dynamic Gaussian Kernel Learning
Shuaishuai Wang
,
Yixiang Sun
,
Yuhan Sha
,
Guangyu Yang
,
Dongzhou Cheng
,
Lei Zhang
,
Hao Wu
,
Aiguo Song
Article
2022
Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors
Shige Xu
,
Lei Zhang
,
Wenbo Huang
,
Hao Wu
,
Aiguo Song
Article
2020
Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
Qin Ni
,
Zhuo Fan
,
Lei Zhang
,
Chris Nugent
,
Ian Cleland
,
Yuping Zhang
,
Nan Zhou
Article
2020
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition
Tengyue Li
,
Simon Fong
,
Kelvin K. L. Wong
,
Ying Wu
,
Xin-she Yang
,
X. Li
Information Fusion
.webp){kind=small}
Discussion(0)
No comments yet. Be the first to comment.