Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data
People spend a substantial part of their lives at rest in bed. 3D human pose and shape
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
SEE: a proactive strategy-centric and deep learning-based ergonomic risk assessment system for risky posture recognition
Work-related musculoskeletal disorders (WMSDs) are serious workplace injuries that put
workers' safety at risk. However, traditional WMSD assessments are based on the human …
workers' safety at risk. However, traditional WMSD assessments are based on the human …
Data augmentation in deep learning-based fusion of depth and inertial sensing for action recognition
N Dawar, S Ostadabbas… - IEEE Sensors Letters, 2018 - ieeexplore.ieee.org
This article covers a deep learning-based decision fusion approach for action or gesture
recognition via simultaneous utilization of a depth camera and a wearable inertial sensor …
recognition via simultaneous utilization of a depth camera and a wearable inertial sensor …
Simultaneously-collected multimodal lying pose dataset: Enabling in-bed human pose monitoring
Computer vision field has achieved great success in interpreting semantic meanings from
images, yet its algorithms can be brittle for tasks with adverse vision conditions and the ones …
images, yet its algorithms can be brittle for tasks with adverse vision conditions and the ones …
Patient-specific pose estimation in clinical environments
Reliable posture labels in hospital environments can augment research studies on neural
correlates to natural behaviors and clinical applications that monitor patient activity …
correlates to natural behaviors and clinical applications that monitor patient activity …
Transfer learning for clinical sleep pose detection using a single 2D IR camera
Sleep quality is an important determinant of human health and wellbeing. Novel
technologies that can quantify sleep quality at scale are required to enable the diagnosis …
technologies that can quantify sleep quality at scale are required to enable the diagnosis …
Remote recognition of in-bed postures using a thermopile array sensor with machine learning
Recently, there has been growing attention to sleep quality monitoring. In-bed posture is not
only one of the critical factors that evaluates sleep qualities but can also help improve the …
only one of the critical factors that evaluates sleep qualities but can also help improve the …
Seeing under the cover: A physics guided learning approach for in-bed pose estimation
S Liu, S Ostadabbas - … Conference on Medical Image Computing and …, 2019 - Springer
Human in-bed pose estimation has huge practical values in medical and healthcare
applications yet still mainly relies on expensive pressure mapping (PM) solutions. In this …
applications yet still mainly relies on expensive pressure mapping (PM) solutions. In this …
Bodypressure-inferring body pose and contact pressure from a depth image
Contact pressure between the human body and its surroundings has important implications.
For example, it plays a role in comfort, safety, posture, and health. We present a method that …
For example, it plays a role in comfort, safety, posture, and health. We present a method that …
Optimal image characterization for in-bed posture classification by using SVM algorithm
CA Rivera-Romero, JU Munoz-Minjares… - Big Data and Cognitive …, 2024 - mdpi.com
Identifying patient posture while they are lying in bed is an important task in medical
applications such as monitoring a patient after a surgical intervention, sleep supervision to …
applications such as monitoring a patient after a surgical intervention, sleep supervision to …