Advanced internet of things for personalised healthcare systems: A survey
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …
new research topic in many academic and industrial disciplines, especially in healthcare …
Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …
due to advancements in pervasive and mobile computing, smart environments and ambient …
Electronic Health Record hiding in Images for smart city applications: A computationally efficient and reversible information hiding technique for secure communication
With the exponential rise in networked infrastructure and advancement of the IoT, the smart
city has become an emerging paradigm. The main attributes of a smart city are to monitor the …
city has become an emerging paradigm. The main attributes of a smart city are to monitor the …
Integrating social practice theory in agent-based models: A review of theories and agents
Evidence-driven agent-based modeling plays a useful part in understanding social
phenomena. By integrating social-cognitive theories in our agent models, we bear evidence …
phenomena. By integrating social-cognitive theories in our agent models, we bear evidence …
Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes
Activity recognition is essential in providing activity assistance for users in smart homes.
While significant progress has been made for single-user single-activity recognition, it still …
While significant progress has been made for single-user single-activity recognition, it still …
Monitoring elderly behavior via indoor position-based stigmergy
In this paper we present a novel approach for monitoring elderly people living alone and
independently in their own homes. The proposed system is able to detect behavioral …
independently in their own homes. The proposed system is able to detect behavioral …
On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes 1
Abstract Automatic human Activity Recognition (AR) is an important process for the provision
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
Wearable internet of things for personalized healthcare: Study of trends and latent research
In this age of heterogeneous systems, diverse technologies are integrated to create
application-specific solutions. The recent upsurge in acceptance of technologies such as …
application-specific solutions. The recent upsurge in acceptance of technologies such as …
A performance comparison of machine learning classification approaches for robust activity of daily living recognition
We live in a world surrounded by ubiquitous devices that capture data related to our daily
activities. Being able to infer this data not only helps to recognise activities of daily life but …
activities. Being able to infer this data not only helps to recognise activities of daily life but …
An event-driven approach to activity recognition in ambient assisted living
H Storf, T Kleinberger, M Becker, M Schmitt… - … Conference, AmI 2009 …, 2009 - Springer
One central challenge of Ambient Assisted Living systems is reliable recognition of the
assisted person's current behavior, so that adequate assistance services can be offered in a …
assisted person's current behavior, so that adequate assistance services can be offered in a …