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12/21/2021
PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training
Stroke rehabilitation seeks to increase neuroplasticity through the repe...
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11/03/2021
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution
Automatic action identification from video and kinematic data is an impo...
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04/14/2020
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
Recovery after stroke is often incomplete, but rehabilitation training m...
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02/10/2020
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
Extraneous variables are variables that are irrelevant for a certain tas...
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02/22/2019
