Challenges and Applications for Hand Gesture Recognition (Advances in Computational Intelligence and Robotics) - Hardcover

Hardcover

ISBN 10: 1799894347 ISBN 13: 9781799894346

Publisher: Business Science Reference, 2022

Synopsis

Due to applications in recent electronic appliances and pervasive devices, Automated Hand Gesture Recognition (HGR) is of particular interest nowadays. HGR developments have come a long way from the traditional Sign Language Recognition (SLR) systems to innovations such as wearable sensor based electronic devices. A large amount of research on HGR is still on the way, both from the industry and academia, that is working towards introducing more practical gesture recognition systems and associated algorithms.

This book highlights state-of-the-art practices in the direction of HGR research. It is organized into five coherent heads: HGR introduction, modalities, and challenges, practical hand segmentation schemes capable of working under cluttered backgrounds, gesture recognition schemes targeting different acquisition mechanisms, solutions sticking to different, practiced methodologies, and conclusions from the HGR works witnessed so far and future options. The book is ideal for undergraduates, researchers at all levels, and the developer community as it provides a basis of information about HGR, as well as new and in-depth research in the field.

About this title

About the Author

Lalit Kane, University of Petroleum and Energy Studies, Dehradun, India

Bhupesh Kumar Dewangan, University of Petroleum and Energy Studies, India

Tanupriya Choudhury, University of Petroleum and Energy Studies (UPES) Dehradun, India

Edition details

• Publisher: Business Science Reference
• Publication date: 2022
• Language: English
• ISBN 10: 1799894347
• ISBN 13: 9781799894346
• Binding: Hardcover
• Number of pages: 300
• Editor: Kane Lalit, Dewangan Bhupesh Kumar, Choudhury Tanupriya