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Found 9 papers, 4 papers with code
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
In the Initialization stage, complete human masks are generated from partial visibility masks.
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
While reconstructing human poses in 3D from inexpensive sensors has advanced significantly in recent years, quantifying the dynamics of human motion, including the muscle-generated joint torques and external forces, remains a challenge.
Wild2Avatar: Rendering Humans Behind Occlusions
In this work, we present Wild2Avatar, a neural rendering approach catered for occluded in-the-wild monocular videos.
DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
Unlike existing methods, our model grants users the flexibility to determine the number and arrangement of sensors tailored to the specific activity of interest, without the need for retraining.
Medical device surveillance with electronic health records
Using hip replacements as a test case, our methods accurately extracted implant details and reports of complications and pain from electronic health records with up to 96. 3% precision, 98. 5% recall, and 97. 4% F1, improved classification performance by 12. 7- 53. 0% over rule-based methods, and detected over 6 times as many complication events compared to using structured data alone.
Weak Supervision for Time Series: Wearable Sensor Classification with Limited Labeled Data
Using modern deep learning models to make predictions on time series data from wearable sensors generally requires large amounts of labeled data.
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector.
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course.
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information
In healthcare applications, temporal variables that encode movement, health status and longitudinal patient evolution are often accompanied by rich structured information such as demographics, diagnostics and medical exam data.
