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Computational Intelligence for Human Action Recognition

Computational Intelligence for Human Action Recognition

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  • More about Computational Intelligence for Human Action Recognition


Human Action Recognition is a challenging area of research with increasing involvement of Computational Intelligence. The primary goal is to equip computing systems with the ability to recognize and interpret human activities from posture, pose, gesture, and facial expression. This area is a formidable component of cognitive science and has received significant attention from researchers. A systematic overview of the state-of-the-art in computational intelligence techniques for human action recognition is provided, with an emphasis on different intelligent techniques and automation techniques. Recent research results and future advancements are discussed. The editors intend to compile a treatise that reflects the concerns of the relevant research community and will be useful to students, researchers, and senior researchers.

\n Format: Hardback
\n Length: 126 pages
\n Publication date: 28 September 2020
\n Publisher: Taylor & Francis Ltd
\n


Human Action Recognition is a complex and demanding field that is receiving significant attention from researchers worldwide. The substantial amount of research dedicated to this area is a clear indication of its importance. As Computational Intelligence continues to play a more significant role in our daily lives, the need for human activity recognition has become increasingly apparent within the research community. The primary objective of this endeavor is to develop computing systems capable of accurately recognizing and interpreting human activities, including posture, pose, gesture, and facial expression.

Human Activity Recognition is a vital component of cognitive science, and researchers are actively engaged in this field. This comprehensive overview aims to provide a systematic examination of the state-of-the-art in computational intelligence techniques for human action recognition. It emphasizes the use of various intelligent techniques to recognize different human actions and discusses the automation techniques employed to handle human action recognition. The book also presents recent research results and provides insights into future advancements in this arena.

The editors of this treatise have designed it to cater to a wide readership, including students at undergraduate and postgraduate levels, active researchers, and aspiring researchers. It is anticipated that this book will be valuable to all those interested in the field of human activity recognition, as it will offer a comprehensive compilation of the latest findings and insights from leading researchers.

In conclusion, Human Action Recognition is a challenging and rapidly evolving field that requires significant attention and research. The substantial effort directed towards this domain is a testament to its importance and the potential it holds for improving our understanding of human behavior and interactions with technology. This comprehensive overview will provide valuable insights and knowledge to researchers, students, and practitioners alike, and contribute to the advancement of this field.

\n Weight: 364g\n
Dimension: 162 x 241 x 15 (mm)\n
ISBN-13: 9780367184438\n \n

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