Download Active Media Technology: 9th International Conference, AMT by Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski PDF

By Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski (auth.), Tetsuya Yoshida, Gang Kou, Andrzej Skowron, Jiannong Cao, Hakim Hacid, Ning Zhong (eds.)

This publication constitutes the refereed court cases of the ninth foreign convention on energetic Media know-how, AMT 2013, held in Maebashi, Japan, in October 2013. The 26 revised complete papers provided including 2 brief papers, sixteen workshop papers, and 12 specified consultation papers have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on energetic desktops, interactive structures, and alertness of AMT established 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 targeted consultation papers: applied sciences and theories of narrative; evolutionary computation and its program; and clever media seek techniques.

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Additional info for Active Media Technology: 9th International Conference, AMT 2013, Maebashi, Japan, October 29-31, 2013, Proceedings

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2. Movement data everyday we collect As shown in Fig. 2, GPS data is collected everyday. We are collecting GPS data now. We use GPS data collected in this way, visualize location, season, time, and more, and compare them. All GPS data was initially stored in CSV format; however, this led to ineļ¬ƒcient programming. Therefore, we extracted only the required CSV data, stored it in a relational database, and queried it as needed. We use the SQLite database and management system. In our SQLite database, we created three simple tables: User, File and Data.

Because natural, stress-free interface is the most important factor to make brain storming be success. The structure of the balance of this paper is as follows. In the second section, we describe the related works. In the third section, we present our methodology. The core of our methods is the Ramer-Douglas-Peucker algorithm to retrieve the coordinates of the fingers from the palm of the hand in an open space. The fourth section describes how the system is implemented. We have employed the Kinect motion capture camera to retrieve the coordinates of the palms of the users, as well as to detect their intentions by gestures.

When the system recognizes more than one palm, the system registers those positions of palms in an array of the data structure as shown in Fig. 3. The system checks the data structure and displays the mouse pointer as many elements as in the array. Once a certain palm is recognized and corresponding mouse pointer is created. The correspondence of the hand and pointer is never broken. The image of the hand and the mouse pointer are tightly coupled in the data structure. Therefore confusions between multiple mouse operations should not be happen.

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