CZU-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and 10 Wearable Inertial Sensors
Author:
Affiliation:
1. Jiangsu Digital Twin Technology Engineering Research Center for Key Equipment of Petrochemical Process, Changzhou University, Jiangsu, Changzhou, China
2. College of Electronic and Information Engineering, Tongji University, Shanghai, China
Funder
Open Research Foundation of Jiangsu Digital Twin Technology Engineering Research Center for Key Equipment of Petrochemical Process
Project of Scientific Research Innovation Plan for Postgraduates in Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9745626/09707787.pdf?arnumber=9707787
Reference45 articles.
1. Berkeley MHAD: A comprehensive Multimodal Human Action Database
2. Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors
3. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications
4. The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
5. USC-HAD
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