630 citations · 645 across the 3 of their papers we have counts for
4 papers
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease
Muriel Lang, Franz M. J. Pfister, Jakob Fröhner +7
The assessment of Parkinson's disease (PD) poses a significant challenge as it is influenced by various factors which lead to a complex and fluctuating symptom manifestation. Thus,…
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization
Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Christian Pichler +5
Parkinson's Disease (PD) is characterized by disorders in motor function such as freezing of gait, rest tremor, rigidity, and slowed and hyposcaled movements. Medication with dopam…
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler +5
While convolutional neural networks (CNNs) have been successfully applied to many challenging classification applications, they typically require large datasets for training. When…
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks
Terry Taewoong Um, Vahid Babakeshizadeh, Dana Kulić
The ability to accurately identify human activities is essential for developing automatic rehabilitation and sports training systems. In this paper, large-scale exercise motion dat…