Contrastive Accelerometer–Gyroscope Embedding Model for Human Activity Recognition
Author:
Affiliation:
1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Funder
Center for Applied Research in Artificial Intelligence
Defense Acquisition Program Administration (DAPA) and Agency for Defense Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10003029/09961198.pdf?arnumber=9961198
Reference51 articles.
1. Deep Learning for RFID-Based Activity Recognition
2. Activity Recognition in Wearable ECG Monitoring Aided by Accelerometer Data
3. A tutorial on human activity recognition using body-worn inertial sensors
4. Deep Learning for Sensor-based Human Activity Recognition
5. Human activity recognition using deep electroencephalography learning
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