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Multimodal In-bed Pose and Shape Estimation under the Blankets

Published: 10 October 2022 Publication History

Abstract

Advancing technology to monitor our bodies and behavior while sleeping and resting are essential for healthcare. However, keen challenges arise from our tendency to rest under blankets. We present a multimodal approach to uncover the subjects and view bodies at rest without the blankets obscuring the view. For this, we introduce a channel-based fusion scheme to effectively fuse different modalities in a way that best leverages the knowledge captured by the multimodal sensors, including visual- and non-visual-based. The channel-based fusion scheme enhances the model's flexibility in the input at inference: one-to-many input modalities required at test time. Nonetheless, multimodal data or not, detecting humans at rest in bed is still a challenge due to the extreme occlusion when covered by a blanket. To mitigate the negative effects of blanket occlusion, we use an attention-based reconstruction module to explicitly reduce the uncertainty of occluded parts by generating uncovered modalities, which further update the current estimation via a cyclic fashion. Extensive experiments validate the proposed model's superiority over others.

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  • (2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
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    cover image ACM Conferences
    MM '22: Proceedings of the 30th ACM International Conference on Multimedia
    October 2022
    7537 pages
    ISBN:9781450392037
    DOI:10.1145/3503161
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 10 October 2022

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    Author Tags

    1. human pose estimation.
    2. in-bed pose
    3. multi modalities

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    • (2024)A Review of State-of-the-Art Methodologies and Applications in Action RecognitionElectronics10.3390/electronics1323473313:23(4733)Online publication date: 29-Nov-2024
    • (2024)Seeing through the TactileProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596128:2(1-39)Online publication date: 15-May-2024
    • (2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
    • (2024)In-Bed Pose Estimation: A Review2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10502680(154-158)Online publication date: 11-Mar-2024
    • (2024)BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00240(2480-2489)Online publication date: 16-Jun-2024
    • (2024)Pressure-Based In-Bed Pose Estimation Methods Using the Skinned Multi-person Linear Model2024 4th Asia Conference on Information Engineering (ACIE)10.1109/ACIE61839.2024.00019(74-79)Online publication date: 26-Jan-2024
    • (2024)In-bed human pose estimation using multi-source information fusion for health monitoring in real-world scenariosInformation Fusion10.1016/j.inffus.2023.102209105(102209)Online publication date: May-2024
    • (2023)Under the Cover Infant Pose Estimation Using Multimodal DataIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.324422072(1-12)Online publication date: 2023
    • (2023)Anatomy-guided domain adaptation for 3D in-bed human pose estimationMedical Image Analysis10.1016/j.media.2023.10288789(102887)Online publication date: Oct-2023

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