Now showing items 1-10 of 18
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 ...
Semantic modelling for learning styles and learning material in an e-learning environment
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning ...
Towards a Service-oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing
(Tsinghua University Press, 2016)
With the growing aging population, age-related diseases have increased considerably over the years. In response to these, ambient assistive living (AAL) systems are being developed and are continually evolving to enrich ...
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) ...
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 ...
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 ...
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 ...
ICA-Based EEG Feature Analysis and Classification of Learning Styles
A thorough investigation of the electroencephalograph (EEG) information may support an enriched awareness of the mechanism of understanding different learning styles patterns. Wavelet analysis is a powerful technique that ...
Multi-granular Activity Recognition within a Multiple Occupancy Environment
(CRC Press, 2019-08-08)
Users’ Privacy Concerns in IoT based Applications
In recent years user privacy has become an important aspect in the development of the Internet of Things (IoT) services due to their privacy invasive nature. However, there has been comparatively little research so far ...