Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools-Reference-Cited by-同舟云学术

Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools

Published:2022 Issue: Volume:10 Page:116527-116539
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hajjej Fahima¹^ORCID,Javeed Madiha²^ORCID,Ksibi Amel¹^ORCID,Alarfaj Mohammed³,Alnowaiser Khaled⁴^ORCID,Jalal Ahmad²,Alsufyani Nawal⁵,Shorfuzzaman Mohammad⁵^ORCID,Park Jeongmin⁶^ORCID

Affiliation:

1. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Computer Science, Air University, Islamabad, Pakistan

3. Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia

4. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

6. Department of Computer Engineering, Tech University of Korea, Siheung-si, South Korea

Funder

MSIT (Ministry of Science and ICT), Korea, under the ITRC

IITP

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09919835.pdf?arnumber=9919835

Reference66 articles.

1. Gait Recognition for Lower Limb Exoskeletons Based on Interactive Information Fusion

2. FootbSense: Soccer Moves Identification Using a Single IMU

3. Student’s Health Exercise Recognition Tool for E-Learning Education

4. Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors

5. Recognition of Human Home Activities via Depth Silhouettes and ℜ Transformation for Smart Homes

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