no code implementations • 20 Nov 2023 • Timothy Hanley, Dara Golden, Robyn Maxwell, Ashkan Parsi, Joseph Lemley
Non-Contact sensing is an emerging technology with applications across many industries from driver monitoring in vehicles to patient monitoring in healthcare.
no code implementations • 13 Nov 2023 • Robyn Maxwell, Timothy Hanley, Dara Golden, Adara Andonie, Joseph Lemley, Ashkan Parsi
This paper presents an investigation into a method of non-contact breathing rate detection using a motion detection algorithm, optical flow.
no code implementations • 8 Aug 2023 • Wang Yao, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
The lack of ethnic diversity in data has been a limiting factor of face recognition techniques in the literature.
no code implementations • 8 Aug 2023 • Wang Yao, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
This work explores the effect of age and aging on the performance of facial authentication methods.
no code implementations • 2 Mar 2023 • Mohamed Moustafa, Amr Elrasad, Joseph Lemley, Peter Corcoran
The data prepared is to include camera frames as well as sensor readings from an electrocardiograph sensor.
no code implementations • 3 Feb 2023 • Ashkan Parsi, David O'Callaghan, Joseph Lemley
Driver stress is a major cause of car accidents and death worldwide.
no code implementations • 21 Sep 2022 • David O'Callaghan, Cian Ryan, Waseem Shariff, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing applications.
no code implementations • 28 Jun 2018 • Joseph Lemley, Anuradha Kar, Alexandru Drimbarean, Peter Corcoran
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems such as driver monitoring systems and novel user interfaces.
2 code implementations • 3 Apr 2017 • Joseph Lemley, Filip Jagodzinski, Razvan Andonie
We present the first algorithm for finding holes in high dimensional data that runs in polynomial time with respect to the number of dimensions.
Computational Geometry Data Analysis, Statistics and Probability
no code implementations • 24 Mar 2017 • Joseph Lemley, Shabab Bazrafkan, Peter Corcoran
Smart Augmentation works by creating a network that learns how to generate augmented data during the training process of a target network in a way that reduces that networks loss.