| 000 | 05712nam a22004455i 4500 | ||
|---|---|---|---|
| 999 |
_c86173 _d86173 _x1 |
||
| 001 | 86173 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230207040546.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160527s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319401140 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aQA76.9.A48 _bA435 2016 |
|
| 082 | 0 | 4 | _a006.3 |
| 245 | 1 | 0 |
_aAmbient Intelligence- Software and Applications � 7th International Symposium on Ambient Intelligence (ISAmI 2016) _cedited by Helena Lindgren, Juan F De Paz, Paulo Novais, Antonio Fernández-Caballero, Hyun Yoe, Andres Jiménez Ramírez, Gabriel Villarrubia |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XVII, 234 páginas) _b64 ilustraciones |
||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aAdvances in Intelligent Systems and Computing _x2194-5357 _v476 |
|
| 505 | 0 | _aA Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living -- An Enhanced Real Space through Temporally Connecting Real and Virtual Scenes -- Detecting Social Interactions in Working Environments through Sensing Technologies -- Estimation of the Optimum Speed to Minimize the Driver Stress Based on the Previous Behavior -- Modelling Algorithms for Hierarchical Activity Discovery -- Estimating the Physical Activity with Smartphones: Analysis of the Device Position and Comparison with GT3X+ Actigraph -- An Application for Mobile Devices Focused on Clinical Decision Support: Diabetes Mellitus Case -- Customized Normalization Method to enhance the Clustering process of Consumption Profiles -- Dynamic Traffic Light Control System Based on Process Synchronization among Connected Vehicles -- Developing an Individualized Survival Prediction Model for Colon Cancer -- Providing Advanced Touristic Services by Means of Augmented Reality and Multimodal Dialog -- Creating Virtual Humans with Game Engines for Evaluate Ambient Assisted Living Scenarios -- Metabolic.Care: A Novel Solution Based on a Thermography for Detection of Diabetic Foot -- Identification of Activities of Daily Living Using Sensors Available in Off-the-shelf Mobile Devices: Research and Hypothesis -- Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application -- Assessing Interpersonal Trust in an Ambient Intelligence Negotiation System -- A Persuasive Cognitive Assistant System -- Preliminary Study of Classifier Fusion based Indoor Positioning Method -- Providing Wellness Services using Real Time Analytics -- Smart Cities Simulation Environment for Intelligent Algorithms Evaluation -- Hash-chain Based Authentication for IoT Devices and REST Web-Services -- Smart Computer-Assisted Cognitive Rehabilitation for the Ageing Population -- EEG Mapping for Arousal Level Quantification Using Dynamic Quadratic Entropy -- ARISTARKO: A Software Framework for Physiological Data Acquisition -- Vowel Recognition from RGB-D Facial Information. | |
| 520 | 3 | _aAmbient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making everyone�s life more comfortable. Another main concern of AmI originates from the human computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means user friendly interfaces. This field is evolving quickly as can be witnessed by the emerging natural language and gesture based types of interaction. The inclusion of computational power and communication technologies in everyday objects is growing and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence and aiming to bring together researchers from various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons learned, namely in terms of software and applications, and aims to bring together researchers from various disciplines that are interested in all aspects of this area. . | |
| 650 | 7 |
_aInteligencia ambiental _0comprobar BNE19900997218 _2embne _9166390 |
|
| 700 | 1 |
_aLindgren, Helena. _eeditor literario _999682 _0Local |
|
| 700 | 1 |
_aDe Paz, Juan F. _eeditor literario _999683 _0Local |
|
| 700 | 1 |
_aNovais, Paulo. _eeditor literario _997754 _0Local |
|
| 700 | 1 |
_aFernández-Caballero, Antonio. _eeditor literario _937961 _0comprobar BNE20051127911 |
|
| 700 | 1 |
_aYoe, Hyun. _eeditor literario _999684 _0Local |
|
| 700 | 1 |
_aJiménez Ramírez, Andrés _eeditor literario _0Local _999685 |
|
| 700 | 1 |
_aVillarrubia, Gabriel. _eeditor literario _999686 _0Local |
|
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-40114-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319401140 | ||
| 907 |
_a.b12954512 _b10-10-17 _c21-11-16 |
||
| 942 |
_2lcc _cLE |
||
| 945 |
_aQA76.9.A48 A435 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11596880 _z06-04-17 |
||
| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 998 |
_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0 |
||