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This ebook constitutes the refereed complaints 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 detailed consultation papers have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on energetic computers, interactive platforms, and alertness of AMT dependent platforms; lively media computing device studying and knowledge mining thoughts; AMT for semantic internet, social networks, and cognitive foundations. also, the most subject of the workshop papers is: intelligence for strategic foresight; and for the designated 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
Inferring High-Level Behavior from Low-Level Sensors. F. ) UbiComp 2003. LNCS, vol. 2864, pp. 73–89. Springer, Heidelberg (2003) 4. : PhotoMap: Using Spontaneously taken Images of Public Maps for Pedestrian Navigation Tasks on Mobile Devices. In: Proceedings of MobileHCI 2009 (2009) 5. : MobiVis: A Visualization System for Exploring Mobile Data. In: Proceedings of Paciﬁc Visualisation Symposium 2008 (2008) 6.
4 Demonstration To demonstrate the eﬀectiveness of our prototype system, we used it to create several spatiotemporal maps. For this purpose, we found three users willing to have their GPS data collected and visualized for a one-month period. Fig. 6 is a side-by-side comparison of the three users’ spatiotemporal maps. Note that the maps diﬀered signiﬁcantly, even though the users lived and worked in the same city. All three users come and go diﬀerent places. But it can be read from the Fig. 6 that left user has moved to the range of the left from the point A, middle user has moved to various locations around the point A, and right user has moved to the range of the right from the point A.
Acoustic frequency is detected in the band of 100 Hz to several KHz K as overtone peak and cluster of notes, which increease or decrease in response to the t frequency. Scoring without the method of this researrch, as shown in Fig. 9, fundam mental tones have been scored. However, noise and unnnecessary notes, which are clo ose to noise, were added and made it impossible to idenntify the original score of the aco oustic source. The reasons for this are as follows: Fig. 8. Frequency pecu uliarity of an electronic Shamisen scale (Unedited method) Fig.