公开(公告)号：US12226203B2

公开(公告)日：2025-02-18

申请号：US17831993

申请日：2022-06-03

Applicant: Northeastern University

Inventor： Sarah Ostadabbas ,  Shuangjun Liu

IPC: A61B5/11 ,  G06T7/73 ,  G06T7/90 ,  G06V40/10 ,  H04N5/33

Abstract: Provided herein are systems and methods for estimating contact pressure of a human lying on a surface including one or more imaging devices having imaging sensors oriented toward the surface, a processor and memory, including a trained model for estimating human contact pressure trained with a dataset including a plurality of human lying poses including images generated from at least one of a plurality of imaging modalities including at least one of a red-green-blue modality, a long wavelength infrared modality, a depth modality, or a pressure map modality, wherein the processor can receive one or more images from the imaging devices of the human lying on the surface and a source of one or more physical parameters of the human to determine a pressure map of the human based on the one or more images and the one or more physical parameters.

公开(公告)号：US12288360B2

公开(公告)日：2025-04-29

申请号：US17403933

申请日：2021-08-17

Applicant: Northeastern University

Inventor： Sarah Ostadabbas ,  Shuangjun Liu ,  Xiaofei Huang ,  Nihang Fu

IPC: G06T7/73 ,  G06T7/50

Abstract: Methods and systems for providing a dataset of human in-bed poses include simultaneously gathered images of in-bed poses of humans from imaging modalities including red-green-blue (RGB) and one or more of long wavelength infrared (LWIR), depth imaging, and pressure mapping. The images are obtained under a lighting condition and a cover condition. The dataset can be used to train a model of estimating human in-bed poses and for methods of estimating human in-bed poses. Methods and systems of estimating three-dimensional human poses from two-dimensional input images are provided.

公开(公告)号：US11222437B2

公开(公告)日：2022-01-11

申请号：US16778459

申请日：2020-01-31

Applicant: Northeastern University

Inventor： Sarah Ostadabbas ,  Shuangjun Liu

IPC: G06T7/70 ,  G06T7/20 ,  H04N5/247

Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.

公开(公告)号：US20200265602A1

公开(公告)日：2020-08-20

申请号：US16778459

申请日：2020-01-31

Applicant: Northeastern University

Inventor： Sarah Ostadabbas ,  Shuangjun Liu

IPC: G06T7/70 ,  G06T7/20

Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.