Assistive gym: A physics simulation framework for assistive robotics

Z Erickson, V Gangaram, A Kapusta… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Autonomous robots have the potential to serve as versatile caregivers that improve quality of
life for millions of people worldwide. Yet, conducting research in this area presents …

Intelligent carpet: Inferring 3d human pose from tactile signals

Y Luo, Y Li, M Foshey, W Shou… - Proceedings of the …, 2021 - openaccess.thecvf.com
Daily human activities, eg, locomotion, exercises, and resting, are heavily guided by the
tactile interactions between the human and the ground. In this work, leveraging such tactile …

[HTML][HTML] In-Bed Monitoring: A Systematic Review of the Evaluation of In-Bed Movements Through Bed Sensors

H Ocagli, C Lanera, C Borghini, NM Khan… - Informatics, 2024 - mdpi.com
The growing popularity of smart beds and devices for remote healthcare monitoring is based
on advances in artificial intelligence (AI) applications. This systematic review aims to …

Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data

HM Clever, Z Erickson, A Kapusta… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

Diffupose: Monocular 3d human pose estimation via denoising diffusion probabilistic model

J Choi, D Shim, HJ Kim - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Thanks to the development of 2D keypoint detectors, monocular 3D human pose estimation
(HPE) via 2D-to-3D uplifting approaches have achieved remarkable improvements. Still …

Human posture recognition using a hybrid of fuzzy logic and machine learning approaches

W Ren, O Ma, H Ji, X Liu - IEEE Access, 2020 - ieeexplore.ieee.org
An autonomous assistive robot needs to recognize the body-limb posture of the person
being assisted while he/she is lying in a bed to provide care services such as hel** …

Simultaneously-collected multimodal lying pose dataset: Enabling in-bed human pose monitoring

S Liu, X Huang, N Fu, C Li, Z Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets

W Chen, Y Hu, W Song, Y Liu, A Torralba… - Proceedings of the ACM …, 2024 - dl.acm.org
Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …

Bodypressure-inferring body pose and contact pressure from a depth image

HM Clever, PL Grady, G Turk… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

A vision-based system for in-sleep upper-body and head pose classification

YY Li, SJ Wang, YP Hung - Sensors, 2022 - mdpi.com
Sleep quality is known to have a considerable impact on human health. Recent research
shows that head and body pose play a vital role in affecting sleep quality. This paper …