Challenges and Applications for Hand Gesture Recognition - Couverture rigide

Couverture rigide

ISBN 10 : 1799894347 ISBN 13 : 9781799894346

Editeur : Business Science Reference, 2022

Synopsis

Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.

A propos du livre

À propos de l?auteur

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

Détails de l'édition

• Éditeur: Business Science Reference
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1799894347
• ISBN 13: 9781799894346
• Reliure: Relié
• Nombre de pages: 300
• Éditeur: Kane Lalit, Dewangan Bhupesh Kumar, Choudhury Tanupriya
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible