Back to search

Article

An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern Recognition

2022-01-13

Abstract excerpt

<h4>Background: </h4> The deep learning techniques have been attracted increasing attention on wireless body sensor networks (WBSNs) gait pattern recognition that has a great contribution to monitoring gait change in clinical application. However, in existing studies, there are some challenging issues such as low generalization performance and no potential interpretation for gait variability. It is necessary to se...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
588fe092-d970-5c6b-a9f7-9a84eb5c1b47
DOI
10.21203/rs.3.rs-1251973/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern RecognitionDOI 10.21203/rs.3.rs-1251973/v1
Select a neighboring publication to make it the new centre.