公开(公告)号：US12112566B2

公开(公告)日：2024-10-08

申请号：US16454248

申请日：2019-06-27

Applicant: CareView Communications, Inc.

Inventor： Steven Gail Johnson ,  Matthew Cameron Clark ,  Stephen Ecker ,  Kyle Brook Johnson ,  Richard Craig Kuether

IPC: G06V40/00 ,  G06T7/73 ,  G06V20/40 ,  G06V20/52 ,  G06V40/10 ,  H04N7/18

CPC classification number: G06V40/103 ,  G06T7/73 ,  G06V20/40 ,  G06V20/52 ,  H04N7/18 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/30196 ,  G06T2207/30201 ,  G06T2207/30232 ,  G06V20/44

Abstract: A video monitoring system captures image frames of a patient in various positions. The captured image frames are analyzed by the system for changes in a patient's position or movement, frames in which the system detects one or both of patient movement and repositioning are retained. The system analyzes an area of interest within each image frame that corresponds to an area in the camera's view field with the patient. Sequential image frames are compared for motion, only frames without motion, where the patient is still, are analyzed.

公开(公告)号：US10387720B2

公开(公告)日：2019-08-20

申请号：US14188396

申请日：2014-02-24

Applicant: CareView Communications, Inc.

Inventor： Steven Gail Johnson ,  Matthew Cameron Clark ,  Stephen Ecker ,  Kyle Brook Johnson ,  Richard Craig Kuether

IPC: G06K9/00 ,  H04N7/18 ,  G06T7/73

Abstract: A video monitoring system captures image frames of a patient in various positions. The captured image frames are analyzed by the system for changes in a patient's position or movement, frames in which the system detects one or both of patient movement and repositioning are retained. The system analyzes an area of interest within each image frame that corresponds to an area in the camera's view field with the patient. Sequential image frames are compared for motion, only frames without motion, where the patient is still, are analyzed.

公开(公告)号：US09041810B2

公开(公告)日：2015-05-26

申请号：US14321427

申请日：2014-07-01

Applicant: CareView Communications, Inc.

Inventor： Stephen Ecker ,  Kyle Brook Johnson ,  Steven Gail Johnson

IPC: G06K9/00

CPC classification number: G06K9/00771 ,  G06K9/00348

Abstract: A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature.

Abstract translation: 病人跌倒预测系统从位于患者室内的监视摄像机接收视频图像帧，并分析视频图像帧以进行运动，这可能是病人跌倒的前兆。 在设置阶段，相机的观点指向与患者跌倒，床，椅子，轮椅等相关联的风险区域。风景区域在视口中以图形方式定义。 患者跌倒预测系统产生位于危险区域的图形标记附近的多个并行运动检测区域。 监视这些运动检测区域，用于指示运动的视频图像帧之间的变化。 记录检测图案并将其与跌倒运动检测签名进行比较。

公开(公告)号：US20140313340A1

公开(公告)日：2014-10-23

申请号：US14321427

申请日：2014-07-01

Applicant: CareView Communications, Inc.

Inventor： Stephen Ecker ,  Kyle Brook Johnson ,  Steven Gail Johnson

IPC: G06K9/00

CPC classification number: G06K9/00771 ,  G06K9/00348

Abstract: A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature.

Abstract translation: 病人跌倒预测系统从位于患者室内的监视摄像机接收视频图像帧，并分析视频图像帧以进行运动，这可能是病人跌倒的前兆。 在设置阶段，相机的观点指向与患者跌倒，床，椅子，轮椅等相关联的风险区域。风景区域在视口中以图形方式定义。 患者跌倒预测系统产生位于危险区域的图形标记附近的多个并行运动检测区域。 监视这些运动检测区域，用于指示运动的视频图像帧之间的变化。 记录检测图案并将其与跌倒运动检测签名进行比较。