Self-Supervised WiFi-Based Activity Recognition
Author:
Affiliation:
1. University of Bristol,School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths,UK
Funder
Engineering and Physical Sciences Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008537.pdf?arnumber=10008537
Reference25 articles.
1. Contrastive Predictive Coding for Human Activity Recognition
2. Mobile sensor data anonymization
3. A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
4. Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition
5. Exploring contrastive learning in human activity recognition for healthcare;tang;CoRR,2020
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