1 code implementation • 28 May 2024 • Vida Adeli, Soroush Mehraban, Irene Ballester, Yasamin Zarghami, Andrea Sabo, Andrea Iaboni, Babak Taati
Lastly, we establish a benchmark for the analysis of skeleton-based motion encoder models in clinical settings.
1 code implementation • 22 Aug 2023 • Caroline Malin-Mayor, Vida Adeli, Andrea Sabo, Sergey Noritsyn, Carolina Gorodetsky, Alfonso Fasano, Andrea Iaboni, Babak Taati
In this work we train a deep neural network to map from a two dimensional pose sequence, extracted from a video of an individual walking down a hallway toward a wall-mounted camera, to a set of three-dimensional spatiotemporal gait features averaged over the walking sequence.
2 code implementations • 7 May 2021 • Andrea Sabo, Sina Mehdizadeh, Andrea Iaboni, Babak Taati
This work leverages novel spatial-temporal graph convolutional network (ST-GCN) architectures and training procedures to predict clinical scores of parkinsonism in gait from video of individuals with dementia.