LEADER 06672nam 22007455 450 001 996466286203316 005 20200701121419.0 010 $a3-030-34255-7 024 7 $a10.1007/978-3-030-34255-5 035 $a(CKB)4100000009758964 035 $a(DE-He213)978-3-030-34255-5 035 $a(MiAaPQ)EBC6303520 035 $a(PPN)255494394 035 $a(EXLCZ)994100000009758964 100 $a20191101d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAmbient Intelligence$b[electronic resource] $e15th European Conference, AmI 2019, Rome, Italy, November 13?15, 2019, Proceedings /$fedited by Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIII, 378 p. 122 illus., 106 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11912 311 $a3-030-34254-9 320 $aIncludes bibliographical references and index. 327 $aAmbient Lighting atmospheres for influencing Emotional Expressiveness and Cognitive Performance -- Power efficient clock synchronization in Bluetooth-based mesh networks -- Classifying Teachers? Self-Reported Productivity, Stress and Indoor Environmental Quality using Environmental Sensors -- User Requirements for the Design of Smart Homes: Dimensions and Goals -- A Clustering Approach for Profiling LoRaWAN IoT Devices -- Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings -- IL4IoT: Incremental Learning for Internet-of-Things Devices -- Enhanced Buying Experiences in Smart Cities: The SMARTBUY approach -- Action Recognition Using Local Visual Descriptors and Inertial Data -- CircuitsMaster: An online End-User Development environment for IoT electronics -- Enabling Machine Learning across Heterogeneous Sensor Networks with Graph Autoencoders -- Development of an Acoustically Adaptive Modular System for Near Real-Time Clarity-Enhancement -- Experiences from Using LoRa and IEEE 802.15.4 for IoT-enabled Classrooms -- Adaptive Service Selection for enabling the Mobility of Autonomous Vehicles -- Discovering User Location Semantics using Mobile Notification Handling Behaviour -- Data-driven Intrusion Detection for Ambient Intelligence -- Spoken Language Identification using ConvNets -- Indoor Air Quality and Wellbeing - Enabling Awareness and Sensitivity with Ambient IoT Displays -- ATHsENSe: an experiment on translating urban data to multisensory immersive artistic experiences in public space -- Characterization of Individual Mobility for Non-Routine Scenarios from Crowd Sensing and Clustered Data -- A Flexible and Scalable Architecture for Human-Robot Interaction -- Toward Supporting Food Journaling using Air Quality Data Mining and a Social Robot -- Viewing Experience of Augmented Reality Objects as Ambient Media - A Comparison of Multimedia Devices -- System Engineering Design for Ambient-Intelligent Decision Support System for Smart Manufacturing -- Ranking robot-assisted surgery skills using kinematic sensors -- uAQE: Urban Air Quality Evaluator -- Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration -- A distributed Multi-Agent System (MAS) application for continuous and integrated Big Data processing -- Human Activities Recognition using Accelerometer and Gyroscope -- Towards Habit Recognition in Smart Homes for People with Dementia -- Ambient Explanations: Ambient Intelligence and Explainable AI. 330 $aThis book constitutes the refereed proceedings of the 15th European Conference on Ambient Intelligence, AmI 2019, held in Rome, Italy, in November 2019. The 20 full papers presented together with 10 short papers were carefully reviewed and selected from 50 submissions. The papers cover topics such as embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g., the Internet of Things). The main topic of AmI 2019 was ?Data-driven Ambient Intelligence,? which follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11912 606 $aApplication software 606 $aComputer communication systems 606 $aArtificial intelligence 606 $aSpecial purpose computers 606 $aUser interfaces (Computer systems) 606 $aSoftware engineering 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 615 0$aApplication software. 615 0$aComputer communication systems. 615 0$aArtificial intelligence. 615 0$aSpecial purpose computers. 615 0$aUser interfaces (Computer systems). 615 0$aSoftware engineering. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aSoftware Engineering/Programming and Operating Systems. 676 $a005.7 702 $aChatzigiannakis$b Ioannis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDe Ruyter$b Boris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMavrommati$b Irene$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466286203316 996 $aAmbient Intelligence$9772024 997 $aUNISA