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In-bed Pressure-based Pose Estimation using Image Space Representation Learning [article]

Vandad Davoodnia, Saeed Ghorbani, Ali Etemad
2020 arXiv   pre-print
However, pose estimation models fail to generalize when facing images acquired from in-bed pressure sensing systems.  ...  Results confirm the effectiveness of our method by the high visual quality in the generated images and the high pose estimation rates achieved.  ...  With the recent advances in deep learning, a number of data-driven methods have been developed for pose estimation using natural camera-based images for a wide range of applications such as animation,  ... 
arXiv:1908.08919v2 fatcat:g3tg5wfyebfo3n5f64zqtuvej4

3D Human Pose Estimation on a Configurable Bed from a Pressure Image [article]

Henry M. Clever, Ariel Kapusta, Daehyung Park, Zackory Erickson, Yash Chitalia, Charles C. Kemp
2018 arXiv   pre-print
However, prior work on estimating human pose from pressure images has been restricted to 2D pose estimates and flat beds.  ...  In this work, we present two convolutional neural networks to estimate the 3D joint positions of a person in a configurable bed from a single pressure image.  ...  Pressure-Image-based Work Prior pressure-image-based pose estimation work has fit 2D kinematic models to pressure image features.  ... 
arXiv:1804.07873v2 fatcat:kzwntfkotbbldnfauel5vnb7zm

Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data [article]

Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp
2020 arXiv   pre-print
We also present PressureNet, a deep learning model that estimates human pose and shape given a pressure image and gender.  ...  We describe a physics-based method that simulates human bodies at rest in a bed with a pressure sensing mat, and present PressurePose, a synthetic dataset with 206K pressure images with 3D human poses  ...  We apply this insight to the problem of using a pressure image to estimate the 3D human pose and shape of a person resting in bed.  ... 
arXiv:2004.01166v1 fatcat:3xa2kosowrabfhf5fqesut75wu

Towards Accurate Cross-Domain In-Bed Human Pose Estimation [article]

Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ashwin De Silva, Chamira Edussooriya
2021 arXiv   pre-print
Majority of the contactless human pose estimation algorithms are based on RGB modality, causing ineffectiveness in in-bed pose estimation due to occlusions by blankets and varying illumination conditions  ...  In this paper, we propose a novel learning strategy comprises of two-fold data augmentation to reduce the cross-domain discrepancy and knowledge distillation to learn the distribution of unlabeled images  ...  in-bed pose estimation.  ... 
arXiv:2110.03578v1 fatcat:sm2ykvy5oneu3blq6hsgtr2yeq

Video-Based Inpatient Fall Risk Assessment: A Case Study [article]

Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021 arXiv   pre-print
We propose an approach that leverages recent advances in human localisation and skeleton pose estimation to extract spatial features from video frames recorded in a simulated environment.  ...  However, in-bed fall risk assessment systems have received less attention in the literature.  ...  Fig. 4 . 4 Representation of the human key points detected in a selected image. Fig. 5 . 5 Representation of the distance feature estimation.  ... 
arXiv:2106.07565v1 fatcat:k7pbvjes4bghxgtttw3wr2mir4

Guest Editorial: Machine Vision Applications

Yasuyo Kita, Hiroshi Ishikawa, Takeshi Masuda
2017 International Journal of Computer Vision  
The method adaptively learns spatial-spectral dictionary through considering "high correlation across spectra" and "non-local self-similarity over space" in the degraded HIS.  ...  The authors extend the Support Vector Data Description (SVDD) for adaptively learn an incremental classifier based on a source classifier.  ...  is learned to describe the human activities using the binary dynamic system (BDS) representation.  ... 
doi:10.1007/s11263-017-0990-1 fatcat:tytmngwqejdezjsjoj766kqxom

Smart healthcare system-a brain-like computing approach for analyzing the performance of detectron2 and PoseNet models for anomalous action detection in aged people with movement impairments

R. Divya, J. Dinesh Peter
2021 Complex & Intelligent Systems  
The objective of this research is to apply real-time pose estimation models for object detection and abnormal activity recognition with vision-based complex key point analysis.  ...  Object detection based on bounding box with a mask is successfully implemented with detectron2 deep learning model.  ...  Pressure sensors associated with the fiber cables measures floor pressure which is used as an input to a BackProjection algorithm which reconstructs the pressure images and using that postures will be  ... 
doi:10.1007/s40747-021-00319-8 fatcat:apc7chp4zbcbtl2hm3gt3zakai

A Vision-Based System for In-Sleep Upper-Body and Head Pose Classification

Yan-Ying Li, Shoue-Jen Wang, Yi-Ping Hung
2022 Sensors  
system that can work on remote subjects, as it uses images captured by a home security camera.  ...  Recent research shows that head and body pose play a vital role in affecting sleep quality.  ...  A domain adaption-based training strategy [28] is proposed to estimate in-bed human poses using RGB and thermal images.  ... 
doi:10.3390/s22052014 pmid:35271162 pmcid:PMC8914692 fatcat:nqtdkpscxrhtzoy6xgk72mqq5y

Deep Learning-Based Human Pose Estimation: A Survey [article]

Ce Zheng and Wenhan Wu and Chen Chen and Taojiannan Yang and Sijie Zhu and Ju Shen and Nasser Kehtarnavaz and Mubarak Shah
2022 arXiv   pre-print
Human pose estimation aims to locate the human body parts and build human body representation (e.g., body skeleton) from input data such as images and videos.  ...  Although the recently developed deep learning-based solutions have achieved high performance in human pose estimation, there still remain challenges due to insufficient training data, depth ambiguities  ...  [43] focused on the HPE of the rest position in bed from pressure images which were collected by a pressure sensing mat. 3D HPE Summary 3D HPE has made significant advancements in recent years.  ... 
arXiv:2012.13392v4 fatcat:ypnqtq3sbncr5fuujif2dhqwji

Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth [article]

Shuangjun Liu, Xiaofei Huang, Nihang Fu, Sarah Ostadabbas
2022 arXiv   pre-print
HW-HuP learns partial pose priors from public 3D human pose datasets and uses easy-to-access observations from the target domain to iteratively estimate 3D human pose and shape in an optimization and regression  ...  Monocular 3D human pose estimation from a single RGB image has received a lot attentions in the past few year.  ...  Visual inspection of the SOTA 3D human pose and shape estimation models compared to our heuristic weakly-supervised 3D human pose estimation model (HW-HuP), when applied on an in-bed pose image taken from  ... 
arXiv:2105.10996v2 fatcat:37jtkfeylrhtnjxvw5n6ma5tsi

"BAM!" Depth-Based Body Analysis in Critical Care [chapter]

Manuel Martinez, Boris Schauerte, Rainer Stiefelhagen
2013 Lecture Notes in Computer Science  
This representation allow us to develop metrics to estimate bed occupancy, body localization, body agitation and sleeping position.  ...  We propose the use of a Bed Aligned Map (BAM) to analyze the patient's body. We use a depth camera to localize the bed, estimate its surface and divide it into 10 cm × 10 cm cells.  ...  Right: The Bed Aligned Map (BAM) is a height based representation aligned to the surface of the bed (best viewed in color).  ... 
doi:10.1007/978-3-642-40261-6_56 fatcat:6jgk4o4glve4rad5hcqr5m3pvu

Bodies Uncovered: Learning to Manipulate Real Blankets Around People via Physics Simulations [article]

Kavya Puthuveetil, Charles C. Kemp, Zackory Erickson
2022 arXiv   pre-print
While robots present an opportunity to provide physical assistance to older adults and people with mobility impairments in bed, people frequently rest in bed with blankets that cover the majority of their  ...  In addition, we transfer simulation-trained policies to a real mobile manipulator and demonstrate that it can uncover a blanket from target body parts of a manikin lying in bed.  ...  In future work, this could be replaced with methods for pose estimation of a human covered by blankets in bed using pressure images from a pressure mat on a bed [40] or depth images from an overhead  ... 
arXiv:2109.04930v2 fatcat:xvgwj6a5c5gqxkem36tmne7si4

Activity summarisation and fall detection in a supportive home environment

H. Nait-Charif, S.J. McKenna
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
Learned models of spatial context are used in conjunction with a tracker to achieve these goals.  ...  Summarisation in terms of semantic regions is demonstrated using acted scenes through automatic recovery of the instructions given to the actor.  ...  Instead, the person's position in the image along with a coarse representation of their shape and orientation in the image were tracked using an ellipse so that the state at time t was e t = (x t , y t  ... 
doi:10.1109/icpr.2004.1333768 dblp:conf/icpr/Nait-CharifM04 fatcat:prhzthgierbztck6yuciw3lav4

Populating 3D Scenes by Learning Human-Scene Interaction [article]

Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, Michael J. Black
2021 arXiv   pre-print
Second, we show that POSA's learned representation of body-scene interaction supports monocular human pose estimation that is consistent with a 3D scene, improving on the state of the art.  ...  POSA provides an effective representation to search for "affordances" in the scene that match the likely contact relationships for that pose.  ...  We also show that POSA can be used for estimating human pose from an RGB image, and that the body-centered HSI representation improves accuracy.  ... 
arXiv:2012.11581v2 fatcat:3mwk46dcm5bs5j54cwesjmo7sm

Towards Contactless Patient Positioning

Srikrishna Karanam, Ren Li, Fan Yang, Wei Hu, Terrence Chen, Ziyan Wu
2020 IEEE Transactions on Medical Imaging  
This has in-turn led to understaffed hospitals unable to handle new patient influx.  ...  Our system has already been used, and had a positive impact on, hospitals and technicians on the front lines of the COVID-19 pandemic, and we expect to see its use increase substantially globally.  ...  based on the estimated mesh and camera parameters, and E θ and E β are the same priors (for pose and shape respectively) as in SMPLify.  ... 
doi:10.1109/tmi.2020.2991954 pmid:32365022 fatcat:2wckwhlbmbdcjj37ogk6pih56u
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