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User Interface for Technology Control
Zapletal, Filip ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
This paper describes systems and user interfaces for monitoring and supervisory control of technological equipment. It describes basic approaches used to solve this problem, commonly used communication protocols and existing user interfaces. Based on those findings are defined requirements for design of a modern user interface for technology supervision and control, particularly in the area of clean and waste water distribution systems. The thesis concludes with a description of a user interface based on defined requirements and finally compares them with existing systems.
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Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
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User Interface for Technology Control
Zapletal, Filip ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
This paper describes systems and user interfaces for monitoring and supervisory control of technological equipment. It describes basic approaches used to solve this problem, commonly used communication protocols and existing user interfaces. Based on those findings are defined requirements for design of a modern user interface for technology supervision and control, particularly in the area of clean and waste water distribution systems. The thesis concludes with a description of a user interface based on defined requirements and finally compares them with existing systems.
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|
|
Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
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