By Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski (auth.), Tetsuya Yoshida, Gang Kou, Andrzej Skowron, Jiannong Cao, Hakim Hacid, Ning Zhong (eds.)
This booklet 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 distinctive consultation papers have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on energetic computers, interactive structures, and alertness of AMT established platforms; lively media desktop studying and knowledge 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 distinct consultation papers: applied sciences and theories of narrative; evolutionary computation and its program; and clever media seek techniques.
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Additional resources for Active Media Technology: 9th International Conference, AMT 2013, Maebashi, Japan, October 29-31, 2013, Proceedings
To resolve such deadlocks in stepp G, decisions are made based on n the control flow chart shown in detail in Fig. 7. According to Fig. 7, each e MA detects whether there are any Items (1-N)) of Table 3. If an MA detects several s conflicts there simultaneously, each MA compaares the geometric mean (Item m1 through N) of priority parameters (a1 through an) in Table 3 among JFSSs and selects the largest geometric mean value of an MA. N Normally, MA sorts out the JF FSS by comparing geometric mean (or arithmetic mean) of the parameter numbers.
When the system recognizes a hand, it acquires the coordinates of the palm and constructs the coordinates of fingers from them. When the system recognizes several hands, each coordinate is kept in the data structure as an array. Then each finger of each hand is also kept in the data structure as also an array in a hierarchical way. Fig. 2 shows how the data structure is constructed. Fig. 2. Left: Douglas-Pecker Algorithm, Right: The Convex hull Vision-Based User Interface for Mouse and Multi-mouse System 4 19 Implementation We employed the Kinect motion capture camera as the base technology for our system.
1) Western score. Westerrn score is the most widely used score, which is consideered as a type of point graph ussing high-pitch and time. As shown in Fig. 2, the symbbols mainly used are clef, key signature, time signature, notes, rest, accidentals, musical symbols as well as slogan in n language. Fig. 2. Western score sample (2) Bunka score or Tablatture. Bunka score is a type of tablature mixed with Shaamisen score that had always existed e with some elements of the staff notation. Insteadd of intervals, performing positiion called Tsubo is notated It is also called Aka-fu.