Titlebook: Ambient Intelligence; 15th European Confer Ioannis Chatzigiannakis,Boris De Ruyter,Irene Mavr Conference proceedings 2019 Springer Nature S

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User Requirements for the Design of Smart Homes: Dimensions and Goals,aper advises the design process of future smart home solutions in two facets: First, we point out several ., namely time, space, relations, individual factors, and values that allow design for a heterogeneity of users and situations. Second, we derive specific . to highlight directions of smart home

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A Clustering Approach for Profiling LoRaWAN IoT Devices,logy to process LoRaWAN packets and perform profiling of the IoT devices. Specifically, we use the .-means algorithm to group devices according to their radio and network behaviour. We tested our approach on a real LoRaWAN network where the entire captured traffic is stored in a proprietary database

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Experiences from Using Gamification and IoT-Based Educational Tools in High Schools Towards Energy nds-on lab activity, integrated within a high school computer science curriculum utilizing IoT devices and data produced inside the school building, along with the Node-RED platform. We describe the tools used, the organization of the educational activities and related goals. We report on the experi

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Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach,e recommendation systems. In effect, SMARTBUY proposes a blended shopping paradigm, wherein the benefits of online shopping are combined with the appeal of traditional store shopping. The article provides an overview of the main outcomes and achievements of SMARTBUY. It also reports on conclusions d

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Development of an Acoustically Adaptive Modular System for Near Real-Time Clarity-Enhancement,tion of the modules is set via a model previously generated by an evolutionary solver, which identifies the optimal extension/retraction extent of each of the six modules to select for individual configurations that collectively ascertain the highest clarity in said specific locations. Second, a sim

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Data-Driven Intrusion Detection for Ambient Intelligence,of 6LoWPAN deployments. We present a comprehensive experimental evaluation carried out using both simulated and real-world experimentation facilities that demonstrates the accuracy of our system against well-known network attacks against 6LoWPAN networks.

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Ioannis Chatzigiannakis,Boris De Ruyter,Irene Mavr

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,Gravidit?tsphysiologische Vorbemerkungen,ual sensors has been performed. Despite of using only two IMUs sensors with egocentric vision, our classification result achieved is 99.61% for recognizing nine different actions. Feature extraction step could play a vital step in human action recognition with limited number of sensors, hence, our method might indeed be promising.