273 citations · 415 across the 13 of their papers we have counts for
13 papers
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation
Sandra-Carina Noble, Tomas Ward, John V. Ringwood
The level of challenge in stroke rehabilitation has to be carefully chosen to keep the patient engaged and motivated while not frustrating them. This paper presents a simulation wh…
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach
Eoin Brophy, Maarten De Vos, Geraldine Boylan +1
Ischemic heart disease is the highest cause of mortality globally each year. This not only puts a massive strain on the lives of those affected but also on the public healthcare sy…
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She, Fan Feng, Qi Liu +33
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…
A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However, eva…
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton +1
Wrist-worn smart devices are providing increased insights into human health, behaviour and performance through sophisticated analytics. However, battery life, device cost and senso…
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney, Eoin Brophy, Tomas E. Ward
Access to medical data is highly restricted due to its sensitive nature, preventing communities from using this data for research or clinical training. Common methods of de-identif…
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang, Qi She, Tomas E. Ward
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where gre…
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the…
Quick and Easy Time Series Generation with Established Image-based GANs
Eoin Brophy, Zhengwei Wang, Tomas E. Ward
In the recent years Generative Adversarial Networks (GANs) have demonstrated significant progress in generating authentic looking data. In this work we introduce our simple method…
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
Rapid Serial Visual Presentation (RSVP) is a paradigm that supports the application of cortically coupled computer vision to rapid image search. In RSVP, images are presented to pa…
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data
Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang +2
The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit o…
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. A num…
Effects of Feedback Latency on P300-based Brain-computer Interface
Mahnaz Arvaneh, Tomas E. Ward, Ian H. Robertson
Feedback has been shown to affect performance when using a Brain-Computer Interface (BCI) based on sensorimotor rhythms. In contrast, little is known about the influence of feedbac…