Abstract-Pen-based interfaces allow users to interact with the help of a stylus and/or fingers. Thanks to a recognition system, users can execute commands by drawing gestures. Because of the complexity of the software, the set of gesture commands can be very large. Consequently, it becomes difficult for the users to remember all the commands. In this paper we introduce "Semicustomizable gestural commands". The idea is to take into account the commands usage frequency: to facilitate the memorization of the most used commands we leave users the freedom/liberty to define their associated gestures (by) themselves. The remaining gesture commands will be automatically generated on the base of the defined gestures according to their hierarchical categorization. Several comparative tests demonstrate that this new approach improved the progressive memorization of the gestural commands. Gesture commands; usage; incremental learning (key words)
Based on a large number of investigation and analysis for slag detection system (SDS), a
kind of automatic SDS using vibration measurements had been put forward in this paper. After
studying casting process from ladle to pouring box and protection casting supporting mechanical
structure, vibration dynamics model of supporting structure was established, also variation of steel
water impact force and influencing factors of inspecting spot vibration are analyzed. Theories of
wavelet, wavelet package and their applications in signal processing are presented. Vibration signal of
steel water was processed by the way of wavelet package, then its eigenvector and tolerance range
were obtained, and that can realize effective identification for steel water status. Experimental results
indicate that this system is very effective and achieves anticipated outcomes.
Aiming at some problems in the fields of industry monitoring technology (IMT) such as bad dynamic ability and poor versatility, this paper brought forward a kind of intelligent Status monitoring and Fault diagnosis Network System (SFNS) based on UPnP-Universal Plug and Play. The model for fault diagnosis network system was established according to characteristics and requirements of IMT network, and system network architecture was designed and realized by UPnP. Using embedded system technology, real-time data collection node, monitoring center node and data storage server were designed, and that supplies powerful real-time data support for SFNS. Industry fields experiments proved that this system can realize self recognition, seamless linkage and other self adapting ability, and can break through the limitation of real IP address to achieve real-time remote monitoring on line.
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