Now showing items 1-10 of 10
Comparing CNN and Human Crafted Features for Human Activity Recognition
Deep learning techniques such as Convolutional Neural Networks (CNNs) have shown good results in activity recognition. One of the advantages of using these methods resides in their ability to generate features automatically. ...
Image-based Text Classification using 2D Convolutional Neural Networks
We propose a new approach to text classification in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global semantics of the sentences from the variations ...
An Experimental Study of Learning Behaviour in an ELearning Environment
To reach an adaptive eLearning course, it is crucial to control and monitor the student behaviour dynamically to implicitly diagnose the student learning style. Eye tracing can serve that purpose by investigate the gaze ...
Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection
(International Speech Communication Association, 2019-09)
Speech Activity Detection (SAD) plays an important role in mobile communications and automatic speech recognition (ASR). Developing efficient SAD systems for real-world applications is a challenging task due to the presence ...
Audio Content Analysis for Unobtrusive Event Detection in Smart Homes
Environmental sound signals are multi-source, heterogeneous, and varying in time. Many systems have been proposed to process such signals for event detection in ambient assisted living applications. Typically, these systems ...
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 ...
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 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)