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 court cases of the ninth overseas convention on lively 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 specific consultation papers have been conscientiously reviewed and chosen from a number of submissions. The papers are geared up in topical sections on energetic desktops, interactive structures, and alertness of AMT established structures; energetic media computer 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 detailed consultation papers: applied sciences and theories of narrative; evolutionary computation and its software; and clever media seek techniques.
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Extra resources for Active Media Technology: 9th International Conference, AMT 2013, Maebashi, Japan, October 29-31, 2013, Proceedings
The fifth section describes the user experiments and demonstrates the effectiveness of our system. Finally, in the sixth section, we conclude our discussion and present the direction of future works. 2 Related Works Versatility and applicability of the non-contact operation are the containers of enormous ideas. There are various situations where the operators of a machine cannot touch any physical devices. In fact, non-contact operations have the possibility to make impossible desires be possible.
Shen et al. created a visual analysis tool called “MoviVis” that presents spatial and social information as a heterogeneous network . The distance between any two points of the resulting maps is similar to the distance represented between landmarks of our spatiotemporal maps. Also, if the actual distance is far, it is close as distance sense. 1 Spatiotemporal Maps Generation System System Conﬁguration Our spatiotemporal maps generation system visualizes users’ movement patterns based on their GPS movement data, which must be captured using a GPS logger (using the model of user action proposed by Ashbrook et al.
E. mouse, and realizes the multi-mouse system. This system is aimed to assist the brainstorming of multiple people by using the Kinect motion capture camera. The system sets the mouse pointer coordinate as follows: 1. The Kinect recognizes the hand of a user. The information acquisition of the frame model starts. 2. The system acquires the coordinate of the palm from the frame model that is provided by the Kinect. 3. The system acquires the coordinate of the each finger from the palm. The system can acquire the coordinates of the entire hand in this way.