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Context aware computing for the internet of things: A survey
As we are moving towards the Internet of Things (IoT), the number of sensors deployed
around the world is growing at a rapid pace. Market research has shown a significant growth …
around the world is growing at a rapid pace. Market research has shown a significant growth …
Situation identification techniques in pervasive computing: A review
Pervasive systems must offer an open, extensible, and evolving portfolio of services which
integrate sensor data from a diverse range of sources. The core challenge is to provide …
integrate sensor data from a diverse range of sources. The core challenge is to provide …
Context-aware computing, learning, and big data in internet of things: a survey
Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
A survey of context modelling and reasoning techniques
Development of context-aware applications is inherently complex. These applications adapt
to changing context information: physical context, computational context, and user …
to changing context information: physical context, computational context, and user …
COSAR: hybrid reasoning for context-aware activity recognition
Human activity recognition is a challenging problem for context-aware systems and
applications. Research in this field has mainly adopted techniques based on supervised …
applications. Research in this field has mainly adopted techniques based on supervised …
A survey on gait recognition via wearable sensors
Gait is a biometric trait that can allow user authentication, though it is classified as a “soft”
one due to a certain lack in permanence and to sensibility to specific conditions. The earliest …
one due to a certain lack in permanence and to sensibility to specific conditions. The earliest …
OWL 2 modeling and reasoning with complex human activities
In recent years, there has been a growing interest in the adoption of ontologies and
ontological reasoning to automatically recognize complex context data such as human …
ontological reasoning to automatically recognize complex context data such as human …
Activity recognition using accelerometer sensor and machine learning classifiers
Activity recognition is considered as an important task in many applications, particularly in
healthcare services. Among these applications include medical diagnostic, monitoring of …
healthcare services. Among these applications include medical diagnostic, monitoring of …
[HTML][HTML] An ontology-based context-aware system for smart homes: E-care@ home
Smart home environments have a significant potential to provide for long-term monitoring of
users with special needs in order to promote the possibility to age at home. Such …
users with special needs in order to promote the possibility to age at home. Such …
Collaborative ontology engineering methodologies for the development of decision support systems: Case studies in the healthcare domain
New models and technological advances are driving the digital transformation of healthcare
systems. Ontologies and Semantic Web have been recognized among the most valuable …
systems. Ontologies and Semantic Web have been recognized among the most valuable …