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A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
[HTML][HTML] Unsupervised human activity recognition using the clustering approach: A review
Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …
development and hardware use, known as the Internet of things. One of the most important …
Sensor-based activity recognition
Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …
is attracting growing attention in a number of disciplines and application domains. However …
An ontology-based hybrid approach to activity modeling for smart homes
Activity models play a critical role for activity recognition and assistance in ambient assisted
living. Existing approaches to activity modeling suffer from a number of problems, eg, cold …
living. Existing approaches to activity modeling suffer from a number of problems, eg, cold …
Ontology-based data semantic management and application in IoT-and cloud-enabled smart homes
The application of emerging technologies of Internet of Things (IoT) and cloud computing
have increasing the popularity of smart homes, along with which, large volumes of …
have increasing the popularity of smart homes, along with which, large volumes of …
LOV4IoT: A second life for ontology-based domain knowledge to build Semantic Web of Things applications
Semantic Web of Things is a new field combining Semantic Web and Internet of Things
technologies to be surrounded by smart objects and applications connected to the Web. On …
technologies to be surrounded by smart objects and applications connected to the Web. On …
KCAR: A knowledge-driven approach for concurrent activity recognition
Recognising human activities from sensors embedded in an environment or worn on bodies
is an important and challenging research topic in pervasive computing. Existing work on …
is an important and challenging research topic in pervasive computing. Existing work on …
Extending knowledge-driven activity models through data-driven learning techniques
Abstract Knowledge-driven activity recognition is an emerging and promising research area
which has already shown very interesting features and advantages. However, there are also …
which has already shown very interesting features and advantages. However, there are also …
Towards knowledge modeling and manipulation technologies: A survey
A system which represents knowledge is normally referred to as a knowledge based system
(KBS). This article focuses on surveying publications related to knowledge base modelling …
(KBS). This article focuses on surveying publications related to knowledge base modelling …
Detecting abnormal events on binary sensors in smart home environments
With a rising ageing population, smart home technologies have been demonstrated as a
promising paradigm to enable technology-driven healthcare delivery. Smart home …
promising paradigm to enable technology-driven healthcare delivery. Smart home …