Overview
- Proposes a new 3D hand model with simple shapes and low computational complexity
- Demonstrates improved particle swarm optimization and multi-objective particle swarm optimization
- Based on case studies of 50 hand postures
Part of the book series: Algorithms for Intelligent Systems (AIS)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The case studies included feature 50 hand postures extracted from five standard datasets, and were used to benchmark the proposed 3D hand model, hand shape optimization, and hand posture recovery.
Authors and Affiliations
About the authors
Dr. Shahrzad Saremi is a lecturer at Griffith College, Griffith University, Australia. She received her BA in Information Technology from the Malaysian Multi Media University and M.Sc in Interaction Design from the University of Queensland. Dr. Saremi has published more than 20 articles in high-impact journals. Her main research interests include machine learning, optimization, human-computer interaction, augmented reality and gesture detection.
Dr. Seyedali Mirjalili is a lecturer at Griffith College, Griffith University and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of five books, 100 journal articles, 20 conference papers, and 20 book chapters. With over 10000 citations and H-index of 40, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the 3rd most cited researcher in Engineering Optimisation and Robust Optimisation using AI techniques. He has been the keynote speaker of several international conferences and is serving as an associate editor of top AI journals including Applied Soft Computing, Applied Intelligence, IEEE Access, Advances in Engineering Software, and Applied Intelligence.
Bibliographic Information
Book Title: Optimisation Algorithms for Hand Posture Estimation
Authors: Shahrzad Saremi, Seyedali Mirjalili
Series Title: Algorithms for Intelligent Systems
DOI: https://doi.org/10.1007/978-981-13-9757-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-13-9756-1Published: 04 September 2019
Softcover ISBN: 978-981-13-9759-2Published: 04 September 2020
eBook ISBN: 978-981-13-9757-8Published: 26 August 2019
Series ISSN: 2524-7565
Series E-ISSN: 2524-7573
Edition Number: 1
Number of Pages: XV, 205
Number of Illustrations: 9 b/w illustrations, 99 illustrations in colour
Topics: Computational Intelligence, Simulation and Modeling, Optimization