Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. - Niladri Sett; Brian Mac Namee; Francesc Calvo; Brian Caulfield 001; John Costello; Seamas Donnelly; Jonas F. Dorn; Louis Jeay; Alison Keogh; Killian McManus; Ronan H. Mullan; Emer O'Hare; et al. (SGAI Conf., 2019)

Human Movement Analysis: Introduction to Motion Capture and Applications for Health. - Lilian Genaro Motti Ader; Alison Keogh; Killian McManus; Barry R. Greene; Brian Caulfield 001 (ICHI, 2020)

An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. - Tecla Bonci; Alison Keogh; Silvia Del Din; Kirsty Scott; Claudia Mazzà (Sensors, 2020)

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. - Ashley Polhemus; Laura Delgado Ortiz; Gavin Brittain; Nikolaos Chynkiamis; Francesca Salis; Heiko Gaßner; Michaela Gross; Cameron Kirk; Rachele Rossanigo; Kristin Taraldsen; Diletta Balta; Sofie Breuls; et al. (npj Digit. Medicine, 2021)

The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study. - Rob Argent; Antonio Bevilacqua; Alison Keogh; Ailish Daly; Brian Caulfield 001 (Sensors, 2021)

Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology - Lessons Learned from 10 Years of Research. - Alison Keogh; Rob Argent; Cailbhe Doherty; Ciara Duignan; Orna Fennelly; Ciaran Purcell; William Johnston; Brian Caulfield 001 (Sensors, 2024)