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The human-computer interaction (HCI) is now playing a
great role in computer technology. This study introduces an automatic
document control technique which is based on the human hand waving movements.
The recognition of hand movement is realized according to the surface
electromyography (sEMG). A collector is set on the forearm. The sEMG signal is
recorded and conveyed to a PC terminal by using wireless Zigbee. An automatic
algorithm is developed in order to extract the characteristics of sEMG,
recognize the waving movements, and transmit to document control command.
The developed human-computer interaction technique can be used as a new gallery
for teaching, as well as an assistant tool for disabled person.