Context aware computing for the internet of things: A survey

C Perera, A Zaslavsky, P Christen… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
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 …

Situation identification techniques in pervasive computing: A review

J Ye, S Dobson, S McKeever - Pervasive and mobile computing, 2012 - Elsevier
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 …

Context-aware computing, learning, and big data in internet of things: a survey

OB Sezer, E Dogdu… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …

A survey of context modelling and reasoning techniques

C Bettini, O Brdiczka, K Henricksen, J Indulska… - Pervasive and mobile …, 2010 - Elsevier
Development of context-aware applications is inherently complex. These applications adapt
to changing context information: physical context, computational context, and user …

COSAR: hybrid reasoning for context-aware activity recognition

D Riboni, C Bettini - Personal and Ubiquitous Computing, 2011 - Springer
Human activity recognition is a challenging problem for context-aware systems and
applications. Research in this field has mainly adopted techniques based on supervised …

A survey on gait recognition via wearable sensors

MD Marsico, A Mecca - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

OWL 2 modeling and reasoning with complex human activities

D Riboni, C Bettini - Pervasive and Mobile Computing, 2011 - Elsevier
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 …

Activity recognition using accelerometer sensor and machine learning classifiers

ASA Sukor, A Zakaria, NA Rahim - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Activity recognition is considered as an important task in many applications, particularly in
healthcare services. Among these applications include medical diagnostic, monitoring of …

[HTML][HTML] An ontology-based context-aware system for smart homes: E-care@ home

M Alirezaie, J Renoux, U Köckemann, A Kristoffersson… - Sensors, 2017 - mdpi.com
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 …