公开(公告)号：US20240055099A1

公开(公告)日：2024-02-15

申请号：US18496438

申请日：2023-10-27

Applicant: Bardavon Health Digital, Inc.

Inventor： Jeffrey Miles Greenberg ,  Renhao Wang ,  Manish Shah ,  Borja Arias Drake ,  Emmett Jackson Greenberg ,  Oriol Janes Pereira

IPC: G16H20/30 ,  G16H30/20 ,  A61B5/11 ,  A61B5/00

CPC classification number: G16H20/30 ,  G16H30/20 ,  A61B5/1128 ,  A61B5/4833 ,  A61B5/742

Abstract: A method for computer-assisted exercise is described. The method includes loading a definition for the exercise including an ordered list of steps. Each step includes positions, and each position is defined by constraints. For each step in the ordered list, the method loads the current step, receives an image of a patient performing the exercise; and determines a plurality of keypoints in the image. For each constraint, a determination is made as to whether the constraint is being met by the patient based, at least in part, on the relative locations of the plurality of keypoints. In response to determining a first set of constraints in the position is met by the patient, the method proceeds to a next step in the ordered list of steps. Methods for authoring the definitions for the exercises are also described.

公开(公告)号：US11710075B2

公开(公告)日：2023-07-25

申请号：US17396499

申请日：2021-08-06

Applicant: BARDAVON HEALTH DIGITAL, INC.

Inventor： Manish Shah ,  Jeffrey Greenberg ,  Evan Minamoto ,  Navin Gupta ,  Paolo Tagliani ,  Francisco Jose Montiel Navarro

IPC: G06K9/00 ,  G06N20/00 ,  G06F3/0482 ,  G06T7/70 ,  G06T7/00 ,  G06V20/20 ,  G06V20/40 ,  G06F18/24 ,  G06F18/40 ,  G06F18/214 ,  G06V20/52

CPC classification number: G06N20/00 ,  G06F3/0482 ,  G06F18/214 ,  G06F18/24 ,  G06F18/40 ,  G06T7/0002 ,  G06T7/70 ,  G06V20/20 ,  G06V20/41 ,  G06V20/52 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06V2201/10

Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.