Unsupervised Representation Learning Method In Sensor Based Human Activity Recognition
Author:
Affiliation:
1. University of Fukui,Graduate School for Engineering
Funder
Japan Society for the Promotion of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941259/9941279/09941334.pdf?arnumber=9941334
Reference10 articles.
1. Multi-task Self-Supervised Learning for Human Activity Detection
2. A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network
3. HASC-PAC2016
4. Unsupervised embedding learning for human activity recognition using wearable sensor data;sheng;FLAIRS,2020
5. Contrastive Predictive Coding for Human Activity Recognition
Cited by 2 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. Experimental Analysis for Sensor Reduction to Depict Real-Time Applications Through Regression Techniques;Lecture Notes in Networks and Systems;2024
2. Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition;Sensors;2023-10-13
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