A Proposed Context-Awareness Taxonomy for Multi-data Fusion in Smart Environments: Types, Properties, and Challenges

2020 ◽  
pp. 511-536
Author(s):  
Doaa Mohey El-Din ◽  
Aboul Ella Hassanein ◽  
Ehab E. Hassanien
Keyword(s):  
Data Fusion ◽  
Context Awareness ◽  
Smart Environments

scholarly journals A Concept for Context Awareness in Smart Environments

2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  
Keyword(s):  
Context Awareness ◽  
Smart Home ◽  
Daily Life ◽  
Smart Environments ◽  
Emotion Detection ◽  
Post Intervention ◽  
Detection Software

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.

scholarly journals An Approach to Data Fusion for Context Awareness

2005 ◽  
pp. 353-367 ◽  
Author(s):  
Amir Padovitz ◽  
Seng W. Loke ◽  
Arkady Zaslavsky ◽  
Bernard Burg ◽  
Claudio Bartolini
Keyword(s):  
Data Fusion ◽  
Context Awareness

Energy-Aware Intelligence in Smart Spaces

2012 ◽  
pp. 366-382
Author(s):  
Sangho Park ◽  
Henry Kautz
Keyword(s):  
Context Awareness ◽  
Human Activities ◽  
Intelligent Systems ◽  
Smart Environments ◽  
Smart Environment ◽  
Energy Aware ◽  
Research Issues ◽  
Intelligent Computing ◽  
Intelligent Algorithms ◽  
Recent Developments

The improvement of energy efficiency in our society has become an urgent issue for sustainability under global warming. The authors present research issues on sensor-based smart environments for energy-aware intelligence, and showcase a study of algorithms for monitoring human activities that provides the context awareness to the smart environments. In order to build energy-aware environments, it is desirable to embed intelligence into the environment itself so that the environment can interpret human behavior in order to adjust itself to human activities occurring in the environment. This is achievable by integrating the environment and the intelligent computing facilities. The computing facility embedded in the environment is equipped with intelligent algorithms that can monitor salient features indicative of the events and learn and recognize changes in the environment. Recent developments in sensor-based intelligent systems can provide suitable algorithms and facilities for building such energy-aware smart environments. The authors present a framework for monitoring human activities in daily living toward the energy-aware intelligence that can detect and learn inhabitants’ behavior patterns in the smart environment.

scholarly journals Intelligible software delivery in smart environments supported by a macro and micro context awareness model

2013 ◽  
Vol 3 (2) ◽  
pp. 139-151
Author(s):  
Charles Gouin-Vallerand ◽  
Patrice Roy ◽  
Bessam Abdulrazak ◽  
Sylvain Giroux ◽  
Anind Dey
Keyword(s):  
Context Awareness ◽  
Smart Environments

scholarly journals An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments

2017 ◽  
Vol 16 (6) ◽  
pp. 1502-1515 ◽  
Author(s):  
Alessandra De Paola ◽  
Pierluca Ferraro ◽  
Salvatore Gaglio ◽  
Giuseppe Lo Re ◽  
Sajal K. Das
Keyword(s):  
Data Fusion ◽  
Smart Environments ◽  
Context Aware
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