Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network

Author:

Alonazi Mohammed1,Ansar Hira2,Mudawi Naif Al3,Alotaibi Saud S.4,Almujally Nouf Abdullah5ORCID,Alazeb Abdulwahab3,Jalal Ahmad2ORCID,Kim Jaekwang6ORCID,Min Moohong7ORCID

Affiliation:

1. Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Faculty of Computer Science and AI, Air University, Islamabad, Pakistan

3. Department of Computer Science, College of Computer Science and Information System, Najran University, Najran, Saudi Arabia

4. Information Systems Department, Umm Al-Qura University, Makkah, Saudi Arabia

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

6. Social Innovation Convergence Program, University College, Sungkyunkwan University, Seoul, Republic of Korea

7. School of Convergence/Convergence Program for Social Innovation, Sungkyunkwan University, Seoul, Republic of Korea

Funder

Sungkyunkwan University

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Satam bin Abdulaziz University project number

Deanship of Scientific Research at Najran University for funding this work under the Research Group Funding program grant code

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

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1. Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN;Frontiers in Bioengineering and Biotechnology;2024-07-31

2. Time-of-Flight Hand-Posture Recognition Using Compact Normalized Histogram;2024 IEEE Sensors Applications Symposium (SAS);2024-07-23

3. Overview of AI-Models and Tools in Embedded IIoT Applications;Electronics;2024-06-13

4. Vehicle Detection and Classification via YOLOv4 and CNN over Aerial Images;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23

5. Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization;Sensors;2024-05-10

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