Now showing items 11-20 of 146
A semantics-based approach to sensor data segmentation in real-time Activity Recognition
Activity Recognition (AR) is key in context-aware assistive living systems. One challenge in AR is the segmentation of observed sensor events when interleaved or concurrent activities of daily living (ADLs) are performed. ...
Using Fuzzy Evidential Reasoning for Multiple Assessment Fusion in Spondylarthropathic Patient Self-Management
This paper proposes an approach for an ICT-supported medical assessment, by merging measures of signs and symptoms from heterogeneous sources. The disease status estimate of patients that suffer from spondylarthropathy is ...
Reality and Perception: Activity monitoring and data collection within a real-world smart home
Smart home technologies have been developing rapidly in the last few years. However, there is still a lack of annotated rich datasets that can be used for different analysis purposes by researchers. The motivation for ...
A User Profile Ontology Based Approach for Assisting People with Dementia in Mobile Environments
Personalization and context-aware applications have attracted increasing amounts of attention over recent years due to the emergence of pervasive computing applications. Nevertheless, it still remains a challenge to meet ...
A Deep Learning approach to Privacy Preservation in Assisted Living
In the era of IoT technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments. The need for sharing of healthcare ...
Ambient Assisted Living and Daily Activities
This book constitutes the refereed proceedings of the 6th International Workshop on Ambient Assisted Living, IWAAL 2014, held in Belfast, UK, in December 2014. The 42 full papers presented with 12 papers of the workshop ...
Spatial-Frequency Data Acquisition using Rotational Invariant Pattern Matching in Smart Environments
This article details the development and testing of an empirical data capture system with the ability to collect spatial-frequency statistics relating to the movement behaviour of a smart home inhabitant. This is achieved ...
Data Mining in Pervasive Environments
this is a special issue describing the latest development of data mining techniques in pervasive computing.
Ontology-based Learning Framework for Activity Assistance in an Adaptive Smart Home
(Atlantis Press, 2011-05)
Activity and behaviour modelling are significant for activity recognition and personalized assistance, respectively, in smart home based assisted living. Ontology-based activity and behaviour modelling is able to leverage ...