Acoustic Sensing for Fitness Activities Recognition: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Acoustic Sensing for Fitness Activities Recognition: A Deep Learning Approach

Published:2024-05-20 Issue: Volume: Page:1-6
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Dai Chen¹,Zhou Weihao¹,Gui Linqing¹,Cao Haotong²,Garg Sahil³,Xiao Fu¹

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications,China

2. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications,China

3. École de technologie supérieure,Electrical Engineering Department,Montréal,Canada

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620762.pdf?arnumber=10620762

Reference12 articles.

1. Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors

2. Human pose estimation and action recognition for fitness movements

3. RecoFit

4. Empowering Home Health Monitoring of Covid-19 Patients with Smartwatch Position and Fitness Tracking

5. Device-free Personalized Fitness Assistant Using WiFi

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