Challenges and Applications for Hand Gesture Recognition (Paperback)

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.

General

Imprint:	Business Science Reference
Country of origin:	United States
Release date:	March 2022
Editors:	Lalit Kane • Bhupesh Kumar Dewangan • Tanupriya Choudhury
Dimensions:	279 x 216mm (L x W)
Format:	Paperback
Pages:	320
ISBN-13:	978-1-79989-435-3
Categories:	Books > Language & Literature > Language & linguistics > Sign languages, Braille & other linguistic communication Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-79989-435-5
Barcode:	9781799894353

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