Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network-Reference-Cited by-同舟云学术

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Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network

Published:2022-06-01 Issue:11 Volume:22 Page:10663-10670
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Qian Xiaoye¹^ORCID,Chen Huan¹^ORCID,Cai Yi¹^ORCID,Chu Kuo-Chung²^ORCID,Xu Wenyao³^ORCID,Huang Ming-Chun⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Science, Case Western Reserve University, Cleveland, OH, USA

2. Department of Information Management, National Taipei University of Nursing & Health Sciences, Taipei, Taiwan

3. Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA

4. Department of Data and Computational Science, Duke Kunshan University, Suzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9785401/09754589.pdf?arnumber=9754589

Reference48 articles.

1. An effective deep autoencoder approach for online smartphone-based human activity recognition;almaslukh;Int J Comput Sci Netw Secur,2017

2. Sensor-based and vision-based human activity recognition: A comprehensive survey;dang;Pattern Recognit,2020

3. Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models

4. EigenJoints-based action recognition using Naïve-Bayes-nearest-neighbor;yang;Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit Workshops,2012

5. Human Activities Recognition in Android Smartphone Using Support Vector Machine

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4. Cross-Domain Activity Recognition Using Shared Representation in Sensor Data;IEEE Sensors Journal;2022-07-01

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