CZU-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and 10 Wearable Inertial Sensors-Reference-Cited by-同舟云学术

CZU-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and 10 Wearable Inertial Sensors

Published:2022-04-01 Issue:7 Volume:22 Page:7034-7042
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chao Xin¹^ORCID,Hou Zhenjie¹^ORCID,Mo Yujian²^ORCID

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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