Deep Incremental Learning for Personalized Human Activity Recognition on Edge Devices-Reference-Cited by-同舟云学术

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Deep Incremental Learning for Personalized Human Activity Recognition on Edge Devices

Published:2022 Issue:3 Volume:45 Page:215-221
ISSN:2694-1783
Container-title:IEEE Canadian Journal of Electrical and Computer Engineering
language:
Short-container-title:IEEE Can. J. Electr. Comput. Eng.

Author:

Younan Shady¹,Abu-Elkheir Mervat¹^ORCID

Affiliation:

1. Media Engineering and Technology, German University in Cairo, New Cairo, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/9349829/9944186/09917545.pdf?arnumber=9917545

Reference21 articles.

1. Deep Learning for Sensor-Based Activity Recognition: Recent Trends

2. Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration

3. Personalized Models in Human Activity Recognition using Deep Learning

4. SelfHAR: Improving human activity recognition through self-training with unlabeled data;ian tang;arXiv 2102 06073,2021

5. Baseline Model Training in Sensor-Based Human Activity Recognition: An Incremental Learning Approach

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. HARE: Unifying the Human Activity Recognition Engineering Workflow;Sensors;2023-12-02

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