Nov 30, 2021 · Considering patient monitoring in particular, in-bed human posture estimation offers important health-related metrics with potential value in ...
We compare three baseline architectures with our novel self- supervised approach that enables in-bed pose estimation when only privacy-preserving images (e.g. ...
This work proposes a multi-modal conditional variational autoencoder (MC-VAE) capable of reconstructing features from missing modalities seen during training.
Sep 13, 2024 · For patient monitoring in particular, in-bed human posture estimation provides important health-related metrics with potential value in medical ...
Nov 30, 2021 · For patient monitoring in particular, in-bed human posture estimation provides im- portant health-related metrics with potential value in ...
Mar 1, 2023 · In this paper we explore the effective use of images from multiple non-visual and privacy-preserving modalities such as depth, long-wave infrared (LWIR) and ...
Privacy-Preserving in-bed pose monitoring - ACM Digital Library
dl.acm.org › doi › j.eswa.2022.119139
Recently, in-bed human pose estimation has attracted the interest of researchers due to its relevance to a wide range of healthcare applications.
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Oct 22, 2024 · Anatomy-guided domain adaptation for 3D in-bed human pose estimation ... Domain adaptation is critical for success in new, unseen environments.
In this work, a deep learning-based framework was developed for human sleeping pose estimation on covered images using only the uncovered training images.
Mar 1, 2023 · Most existing methods for in-bed pose estimation are driven by deep learning models to address these difficulties, and seek to close the gap ...