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OverviewDue 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. Full Product DetailsAuthor: Lalit Kane , Bhupesh Kumar Dewangan , Tanupriya ChoudhuryPublisher: IGI Global Imprint: Business Science Reference Weight: 0.633kg ISBN: 9781799894346ISBN 10: 1799894347 Pages: 300 Publication Date: 31 March 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationLalit 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 Tab Content 6Author Website:Countries AvailableAll regions |