Now showing items 11-20 of 21
Semantic segmentation of real-time sensor data stream for complex activity recognition
Data segmentation plays a critical role in performing human activity recognition in the ambient assistant living systems. It is particularly important for complex activity recognition when the events occur in short bursts ...
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 ...
Enhanced Multi-Source Data Analysis for Personalized Sleep-Wake Pattern Recognition and Sleep Parameter Extraction
Sleep behavior is traditionally monitored with polysomnography, and sleep stage patterns are a key marker for sleep quality used to detect anomalies and diagnose diseases. With the growing demand for personalized healthcare ...
Smart Assisted Living: Toward An Open Smart-Home Infrastructure
(Springer Nature, 2019-08-20)
Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the ...
Fine-Grained Sleep-Wake Behaviour Analysis
Sleep stages are traditionally assessed by experts from polysomnography measurements following specific guidelines. Sleep stage behaviour is subsequently used to detect anomalies and diagnose diseases in a laboratory ...
An Assistive Augmented Reality-based Smartglasses Solution for Individuals with Autism Spectrum Disorder
Acquiring daily living skills can be difficult for children and adults with autism spectrum disorders (ASD). Increasing evidences indicate that classic occupational interventions approaches such as Discrete Trial Teaching(DTT) ...
Fuzzy-Based Fine-Grained Human Activity Recognition within Smart Environments
With the increasing ageing population, Smart Home (SH) has been under vigorous investigation to enable Ambient Assisted Living (AAL) and foster independent living. Human Activity Recognition (HAR) is the backbone of AAL ...
A deep learning approach for privacy preservation in assisted living
In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments. Systems that offer ...
Multi-granular Activity Recognition within a Multiple Occupancy Environment
(CRC Press, 2019-08-08)
A Home-Based IoT-Enabled Framework for Sleep Behaviour Assessment
Sleep has an impact on a person's life including their health and wellbeing, thus assessing sleep behaviour is of high importance to gain insight into people's general health status. In general, current sleep behaviour ...