Martin O'Reilly

According to our database, Martin O'Reilly authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers.

Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim

Data Min. Knowl. Discov., March, 2023

An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification.

Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2019

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations.

Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim

Data Min. Knowl. Discov., 2019

Capturing concussion related changes in dynamic balance using the Quantified Y Balance Test - a case series of six elite rugby union players.

William Johnston, Martin O'Reilly, Mairead Liston, Rod McLoughlin, Garrett F. Coughlan, Brian Caulfield

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

A Comparison of k-NN Methods for Time Series Classification and Regression.

Vivek Mahato, Martin O'Reilly, Padraig Cunningham

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

Kernel Methods for Time Series Classification and Regression.

Mourtadha Badiane, Martin O'Reilly, Padraig Cunningham

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017

The influence of feature selection methods on exercise classification with inertial measurement units.

Martin A. O'Reilly, William Johnston, Cillian Buckley, Darragh Whelan, Brian Caulfield

Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

Binary classification of running fatigue using a single inertial measurement unit.

Cillian Buckley, Martin A. O'Reilly, Darragh Whelan, Adam Vallely Farrell, Lauren Clark, Vanessa Longo, M. D. Gilchrist, Brian Caulfield

Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

2016

Evaluating performance of the lunge exercise with multiple and individual inertial measurement units.

Darragh Whelan, Martin O'Reilly, Tomás E. Ward, Eamonn Delahunt, Brian Caulfield

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Objective Classification of Dynamic Balance Using a Single Wearable Sensor.

William Johnston, Martin O'Reilly, Kara Dolan, Niamh Reid, Garrett Coughlan, Brian Caulfield

Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support, 2016

Leveraging IMU data for accurate exercise performance classification and musculoskeletal injury risk screening.

Darragh Whelan, Martin O'Reilly, Bing Quan Huang, Oonagh M. Giggins, M. Tahar Kechadi, Brian Caulfield

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Evaluating Performance of the Single Leg Squat Exercise with a Single Inertial Measurement Unit.

Darragh Whelan, Martin O'Reilly, Tomás Ward, Eamonn Delahunt, Brian Caulfield

Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques, 2015

Evaluating squat performance with a single inertial measurement unit.

Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel, Eamonn Delahunt, Tomás Ward, Brian Caulfield

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015