By Frode Eika Sandnes, Yo-Ping Huang (auth.), Yueh-Min Huang, Han-Chieh Chao, Der-Jiunn Deng, James J. (Jong Hyuk) Park (eds.)
The topic of HumanCom and EMC is concentrated at the numerous points of human-centric computing for advances in desktop technology and its functions, embedded and multimedia computing and gives a chance for tutorial and execs to debate the most recent matters and development within the sector of human-centric computing. And the subject matter of EMC (Advanced in Embedded and Multimedia Computing) is concentrated at the numerous elements of embedded approach, clever grid, cloud and multimedia computing, and it offers a chance for tutorial, execs to debate the most recent concerns and development within the region of embedded and multimedia computing. consequently this ebook can be comprise many of the theories and useful functions in human-centric computing and embedded and multimedia computing.
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Extra info for Advanced Technologies, Embedded and Multimedia for Human-centric Computing: HumanCom and EMC 2013
As such, the fixed value of cTH may mislead (3), thus resulting in an incorrect decision of a speech-present/absent region, particularly for heavily damaged speech. We update the parameter continually, considering the posteriori SNR changed per frame and frequency bin, as shown in: clTH ðxÞ ¼ lÀ1 X ckx b k¼lÀb ð4Þ The average of cx estimated in the previous b frames is expected to advance the hard-decision and thus improve the estimate of SAP applied to GMF. Our experiments determined that the smallest number of b is 5 while preserving the performance.
In English Note, vocabularies provided for elementary students are nouns, verbs, adjectives, adverbs, and prepositions. Although preposition is as important as other five parts of speech, since it is used to show the relationship between other parts of speech, and we considered that teaching its meaning alone is pointless and confusing for the learners/players; thus, we included the first five parts of speech only. 18 K. Nakajima and T. Nakajima Fig. 3 Draw-part2 Thirdly, Japanese translations are shown to improve the understanding of the vocabularies.
Motion data from multiple users can be captured simultaneously. 3. Data size of skeleton points is much smaller than that of the image. Fig. 1 Cloud systems with sensor devices Fall Detection by a SVM-Based Cloud System with Motion Sensors 39 Developing a SVM model to determine human behaviors on the cloud system with motion sensors can be widely used at home, hospital, kindergartens, and etc. 90 % accuracy under the best setting for fall detection. In addition, using the linear kernel or polynomial kernel for the SVM learning, the response time (for prediction) takes less than 10-3 s on average, making such system suitable for real-time applications.
Advanced Technologies, Embedded and Multimedia for Human-centric Computing: HumanCom and EMC 2013 by Frode Eika Sandnes, Yo-Ping Huang (auth.), Yueh-Min Huang, Han-Chieh Chao, Der-Jiunn Deng, James J. (Jong Hyuk) Park (eds.)