Hand Gesture Recognition for Characters Understanding Using Convex Hull Landmarks and Geometric Features-Reference-Cited by-同舟云学术

Hand Gesture Recognition for Characters Understanding Using Convex Hull Landmarks and Geometric Features

Published:2023 Issue: Volume:11 Page:82065-82078
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ansar Hira¹,Mudawi Naif Al²,Alotaibi Saud S.³,Alazeb Abdulwahab²,Alabdullah Bayan Ibrahimm⁴,Alonazi Mohammed⁵,Park Jeongmin⁶^ORCID

Affiliation:

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

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

3. Information Systems Department, Umm Al-Qura University, Mecca, Saudi Arabia

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

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

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

Funder

Basic Science Research Program through the National Research Foundation

Ministry of Science and Information & Communications Technology (MSIT), Republic of Korea

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

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Satam bin Abdulaziz University project number

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/ielx7/6287639/10005208/10198393.pdf?arnumber=10198393

Reference59 articles.

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3. A Hybrid Feature Extraction Approach for Human Detection, Tracking and Activity Recognition Using Depth Sensors

4. American Sign Language Character Recognition with Capsule Networks

5. Sensor Based Hand Gesture Recognition System for English Alphabets Used in Sign Language of Deaf-Mute People

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