A Multiscale Cross-Modal Interactive Fusion Network for Human Activity Recognition Using Wearable Sensors and Smartphones-Reference-Cited by-同舟云学术

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A Multiscale Cross-Modal Interactive Fusion Network for Human Activity Recognition Using Wearable Sensors and Smartphones

Published:2024-08-15 Issue:16 Volume:11 Page:27139-27152
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yang Xin¹^ORCID,Xu Zeju¹^ORCID,Liu Haodong¹^ORCID,Shull Peter B.²^ORCID,Redmond Stephen³^ORCID,Liu Guanzheng¹^ORCID,Wang Changhong¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

3. School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10529207.pdf?arnumber=10529207

Reference30 articles.

1. Two-stream transformer network for sensor-based human activity recognition

2. Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

3. Dilated causal convolution with multi-head self attention for sensor human activity recognition

4. Human activity detection and recognition for video surveillance

5. Feature Selection for Wearable Smartphone-Based Human Activity Recognition with Able bodied, Elderly, and Stroke Patients

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