000 | 03263nam a22005055i 4500 | ||
---|---|---|---|
001 | 978-94-91216-05-3 | ||
003 | DE-He213 | ||
005 | 20140220083838.0 | ||
007 | cr nn 008mamaa | ||
008 | 110504s2011 fr | s |||| 0|eng d | ||
020 |
_a9789491216053 _9978-94-91216-05-3 |
||
024 | 7 |
_a10.2991/978-94-91216-05-3 _2doi |
|
050 | 4 | _aQA76.76.A65 | |
072 | 7 |
_aUNH _2bicssc |
|
072 | 7 |
_aUDBD _2bicssc |
|
072 | 7 |
_aCOM032000 _2bisacsh |
|
082 | 0 | 4 |
_a005.7 _223 |
100 | 1 |
_aChen, Liming. _eeditor. |
|
245 | 1 | 0 |
_aActivity Recognition in Pervasive Intelligent Environments _h[electronic resource] / _cedited by Liming Chen, Chris D. Nugent, Jit Biswas, Jesse Hoey. |
264 | 1 |
_aParis : _bAtlantis Press, _c2011. |
|
300 |
_aXVI, 332 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aAtlantis Ambient and Pervasive Intelligence, _x1875-7669 ; _v4 |
|
520 | _aThis book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aInformation systems. | |
650 | 0 | _aComputer vision. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aInformation Systems Applications (incl.Internet). |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
700 | 1 |
_aNugent, Chris D. _eeditor. |
|
700 | 1 |
_aBiswas, Jit. _eeditor. |
|
700 | 1 |
_aHoey, Jesse. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9789078677420 |
830 | 0 |
_aAtlantis Ambient and Pervasive Intelligence, _x1875-7669 ; _v4 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.2991/978-94-91216-05-3 |
912 | _aZDB-2-SCS | ||
999 |
_c109730 _d109730 |