Human activity recognition with analysis of angles between skeletal joints using a RGB‐depth sensor-Reference-Cited by-同舟云学术

Human activity recognition with analysis of angles between skeletal joints using a RGB‐depth sensor

Published:2019-11-13 Issue:1 Volume:42 Page:78-89
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

İnce Ömer Faruk¹,Ince Ibrahim Furkan²,Yıldırım Mustafa Eren²³^ORCID,Park Jang Sik²^ORCID,Song Jong Kwan²,Yoon Byung Woo²

Affiliation:

1. Center for Intelligent and Interactive Robotics Korea Institute of Science and Technology Seoul Rep. of Korea

2. Department of Electronics Engineering Kyungsung University Pusan Rep. of Korea

3. Department of Electrical and Electronics Engineering Bahçeşehir University Istanbul Turkey

Funder

Busan Brain 21+

Development 3D Map Video Surveillance System for Security Monitoring and Safety Management of Infrastructure Facilities

Institute for Information & Communications Technology Promotion

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2018-0577

Reference58 articles.

1. Human activity recognition from wearable sensors using extremely randomized trees

2. Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home

3. Wearable sensor-based human activity recognition from environmental background sounds

4. Security Architecture for Third Generation (3G) using GMHS Cellular Network

5. Security Enhancement for E‐learning portal;Jalal A.;Int. J. Comput. Sci. Netw. Security,2008

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