A Wearable System for Gait Training in Subjects with Parkinson's Disease. - Filippo Casamassima; Alberto Ferrari; Bojan Milosevic; Pieter Ginis; Elisabetta Farella; Laura Rocchi (Sensors, 2014)

Handling Gait Impairments of Persons with Parkinson's Disease by Means of Real-Time Biofeedback in a Daily Life Environment. - Alberto Ferrari; Pieter Ginis; Alice Nieuwboer; Reynold Greenlaw; Andrew Muddiman; Lorenzo Chiari (ICOST, 2016)

Automated freezing of gait assessment with marker-based motion capture and deep learning approaches expert-level detection. - Benjamin Filtjens; Pieter Ginis; Alice Nieuwboer; Peter Slaets; Bart Vanrumste (CoRR, 2021)

Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation. - Benjamin Filtjens; Pieter Ginis; Alice Nieuwboer; Muhammad Raheel Afzal; Joke Spildooren; Bart Vanrumste; Peter Slaets (BMC Medical Informatics Decis. Mak., 2021)

Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data. - Benjamin Filtjens; Po-Kai Yang; Maaike Goris; Moran Gilat; Niklas Kempynck; Pieter Ginis; Alice Nieuwboer; Peter Slaets; Bart Vanrumste (BSN, 2023)

Validation of Commercial Activity Trackers in Everyday Life of People with Parkinson's Disease. - Pieter Ginis; Maaike Goris; An De Groef; Astrid Blondeel; Moran Gilat; Heleen Demeyer; Thierry Troosters; Alice Nieuwboer (Sensors, 2023)