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Challenges and Applications for Hand Gesture Recognition (Paperback)
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Challenges and Applications for Hand Gesture Recognition (Paperback)
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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.
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