By Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski (auth.), Tetsuya Yoshida, Gang Kou, Andrzej Skowron, Jiannong Cao, Hakim Hacid, Ning Zhong (eds.)
This ebook constitutes the refereed lawsuits of the ninth foreign convention on lively Media know-how, AMT 2013, held in Maebashi, Japan, in October 2013. The 26 revised complete papers offered including 2 brief papers, sixteen workshop papers, and 12 precise consultation papers have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on lively desktops, interactive platforms, and alertness of AMT dependent structures; energetic media desktop studying and information mining options; AMT for semantic net, social networks, and cognitive foundations. also, the most subject of the workshop papers is: intelligence for strategic foresight; and for the unique consultation papers: applied sciences and theories of narrative; evolutionary computation and its program; and clever media seek techniques.
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Extra info for Active Media Technology: 9th International Conference, AMT 2013, Maebashi, Japan, October 29-31, 2013, Proceedings
However, most m of the music fanciers of the time did not comprehendd the staff notation and as a resultt the notation was never popularized. Further researches and contribution of Dr. Inazo Niitobe have compilation of “Shamisen Bunka tablature”. T The Bunka tablature was begin nner friendly and as a result contributed in popularizzing 26 J. Kosakaya Shamisen music. Currently it is in use not only the mainstream of Shamisen music but also Naga-uta, Ko-uta and Ha-uta. H The following describes the difference between the Western score and Shamisen n score (Bunka tablature).
Have developed a multi-mouse system . Even though they have shown the potential collaborative works through multi-mouse system, all the participants have to have their own physical mice. Several researchers have conducted studies in real time tracking systems using the Villa-Jones-based cascade classifier [3-4]. Other researchers have shown that cascade classifiers can also be used to recognize hands and various parts of the human body [5-9]. Marcel et al. have detected the hand by the different technique .
The number of mice is the number of recognized palms. In order to implement our proposal, we have employed the Kinect motion capture camera and have used the tracking function of the Kinect to recognize the fingers of users. Operations on the mouse pointers are reflected in the coordinates of the detected fingers. In order to demonstrate the effectiveness of our proposal, we have conducted several user experiments. We have observed that the Kinect is suitable equipment to implement the multi-mouse operations.
Active Media Technology: 9th International Conference, AMT 2013, Maebashi, Japan, October 29-31, 2013, Proceedings by Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski (auth.), Tetsuya Yoshida, Gang Kou, Andrzej Skowron, Jiannong Cao, Hakim Hacid, Ning Zhong (eds.)