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        <identifier>oai:meral.edu.mm:recid/00007363</identifier>
        <datestamp>2021-12-13T06:59:06Z</datestamp>
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          <dc:title>A Critical Survey on Static and Dynamic Hand Gesture</dc:title>
          <dc:creator>Phyu Myo Thwe</dc:creator>
          <dc:creator>Nwe Ni Kyaw</dc:creator>
          <dc:creator>Moe Moe Htay</dc:creator>
          <dc:creator>G R Sinha</dc:creator>
          <dc:creator>Phyu Phyu Khaing</dc:creator>
          <dc:description>Gestures are the movement of the face, hand, or
other parts of the body. So, hand gestures are the
movement of hand. Hand gestures give more meaningful
information than other types of gestures. Hand gesture
recognition is used enormously in recent years to interact
with humans and machines. There are many techniques
for hand gesture recognition, such as color marker
approach, vision-based approach, glove-based approach,
and depth-based approach. The main purpose of the
gesture recognition system is to develop natural devicefree interfaces that recognize hand gestures as commands
or basic gestural control systems for human-machine
interaction and human-robot communication and used
them to control electronic devices. This paper reviewed
the most commonly used hand gesture recognition
methods and lists the current challenging problems of
hand gesture recognition system.</dc:description>
          <dc:date>2019-09-11</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000007363</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/7363</dc:identifier>
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