Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors
Author:
Affiliation:
1. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China
2. School of Instrument Science and Engineering, Southeast University, Nanjing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7433297/9900106/09669910.pdf?arnumber=9669910
Reference38 articles.
1. Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks
2. Performance Evaluation of Classifiers on WISDM Dataset for Human Activity Recognition
3. Deep Learning Models for Real-time Human Activity Recognition with Smartphones
4. A federated learning system with enhanced feature extraction for human activity recognition
5. Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
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