Overcoming Data Scarcity in Human Activity Recognition<sup>*</sup>-Reference-Cited by-同舟云学术

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Overcoming Data Scarcity in Human Activity Recognition^*

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
language:
Short-container-title:

Author:

Konak Orhan¹,Liebe Lucas¹,Postnov Kirill¹,Sauerwald Franz¹,Gjoreski Hristijan²,Luštrek Mitja³,Arnrich Bert¹

Affiliation:

1. University of Potsdam,Hasso Plattner Institute,Germany

2. Ss. Cyril and Methodius University in Skopje,North Macedonia

3. Jožef Stefan Institute,Department of Intelligent Systems,Ljubljana,Slovenia

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340387.pdf?arnumber=10340387

Reference16 articles.

1. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

2. A study on IMU-Based Human Activity Recognition Using Deep Learning and Traditional Machine Learning

3. A survey on wearable sensor modality centred human activity recognition in health care

4. Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

5. ActivityGAN

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ModifyAug: Data Augmentation for Virtual IMU Signal based on 3D Motion Modification Used for Real Activity Recognition;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02

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