OpenWatch provides the first open multimodal smartwatch gesture dataset and benchmark, with MixToken and NormWear-Lora methods reaching 90% F1-score using 223k parameters versus 66% for 136M-parameter foundation models.
Estimating body and hand motion in an ego-sensed world.arXiv, 2410.03665
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Ultra Diffusion Poser improves sparse inertial human pose estimation by reconstructing 3D sensor layouts from UWB ranging measurements and using UWB-Diffusion Guidance in a diffusion model, claiming up to 22% lower joint position error than prior work.
ARAPDiffusion adds ARAP regularization losses to a latent diffusion model and alternates between improving the shape autoencoder and the diffusion model to learn continuous deformable shape spaces from limited data.
citing papers explorer
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OpenWatch: A Multimodal Benchmark for Hand Gesture Recognition on Smartwatches
OpenWatch provides the first open multimodal smartwatch gesture dataset and benchmark, with MixToken and NormWear-Lora methods reaching 90% F1-score using 223k parameters versus 66% for 136M-parameter foundation models.
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Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances
Ultra Diffusion Poser improves sparse inertial human pose estimation by reconstructing 3D sensor layouts from UWB ranging measurements and using UWB-Diffusion Guidance in a diffusion model, claiming up to 22% lower joint position error than prior work.
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ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning
ARAPDiffusion adds ARAP regularization losses to a latent diffusion model and alternates between improving the shape autoencoder and the diffusion model to learn continuous deformable shape spaces from limited data.