Activity and anomaly detection in smart home: A survey
U Bakar, H Ghayvat, SF Hasanm… - Next generation sensors …, 2015 - Springer
Activity recognition is a popular research area with a number of applications, particularly in
the smart home environment. The unique features of smart home sensors have challenged …
the smart home environment. The unique features of smart home sensors have challenged …
Cloud-supported cyber–physical localization framework for patients monitoring
MS Hossain - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
The potential of cloud-supported cyber-physical systems (CCPSs) has drawn a great deal of
interest from academia and industry. CCPSs facilitate the seamless integration of devices in …
interest from academia and industry. CCPSs facilitate the seamless integration of devices in …
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
This research aims to describe pattern recognition models for detecting behavioural and
health-related changes in a patient who is monitored continuously in an assisted living …
health-related changes in a patient who is monitored continuously in an assisted living …
Mobile social networking middleware: A survey
The convergence of social networking and mobile computing is expected to generate a new
class of applications, called Mobile Social Networking (MSN) applications, that will be of …
class of applications, called Mobile Social Networking (MSN) applications, that will be of …
Secure edge of things for smart healthcare surveillance framework
The vast development of the Internet of Things (IoT) and cloud-enabled data processing
solutions provide the opportunity to build novel and fascinating smart, connected healthcare …
solutions provide the opportunity to build novel and fascinating smart, connected healthcare …
CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living
Research into ambient assisted living (AAL) strives to ease the daily lives of people with
disabilities or chronic medical conditions. AAL systems typically consist of multitudes of …
disabilities or chronic medical conditions. AAL systems typically consist of multitudes of …
BDCaM: Big data for context-aware monitoring—A personalized knowledge discovery framework for assisted healthcare
Context-aware monitoring is an emerging technology that provides real-time personalised
health-care services and a rich area of big data application. In this paper, we propose a …
health-care services and a rich area of big data application. In this paper, we propose a …
Edge computing and social internet of things for large-scale smart environments development
Large-scale smart environments (LSEs) are open and dynamic systems typically extending
over a wide area and including a huge number of interacting devices with a heterogeneous …
over a wide area and including a huge number of interacting devices with a heterogeneous …
Real-time secure health surveillance for smarter health communities
Pervasive healthcare services with smart decision making capability and ubiquitous
communication technologies can forge future smart communities. Real-time health …
communication technologies can forge future smart communities. Real-time health …
Exploiting object group localization in the Internet of Things: Performance analysis
In the Internet of Things (IoT), localization of objects is crucial for both information delivery
and support of context-aware services. Unfortunately, the huge number of mobile objects …
and support of context-aware services. Unfortunately, the huge number of mobile objects …