A Novel Multimodal Human Activity Recognition based on Self-Attention Mechanism-Reference-Cited by-同舟云学术

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A Novel Multimodal Human Activity Recognition based on Self-Attention Mechanism

Published:2024-06-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
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Author:

Ding Xue¹,Mei Yaowen²,Cai Bowen¹,Zhou Yuetian¹,Yu Jinyang¹,Xie Weiliang¹,Jiang Ting³

Affiliation:

1. China Telecom Research Institute,Mobile and Terminal Technology Research Department,Beijing,China

2. Alibaba Technology Co., Ltd,Beijing,China

3. Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608145/10608191/10608274.pdf?arnumber=10608274

Reference15 articles.

1. Multilocation Human Activity Recognition via MIMO-OFDM-Based Wireless Networks: An IoT-Inspired Device-Free Sensing Approach

2. Alleviating Modality Bias Training for Infrared-Visible Person Re-Identification

3. Device-Free Occupant Activity Sensing Using WiFi-Enabled IoT Devices for Smart Homes

4. Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning

5. Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective

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