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公开(公告)号：US20230004740A1
公开(公告)日：2023-01-05
申请号：US17364806
申请日：2021-06-30
发明人： Chuqiao Dong , Dan Shao , Zhen Xiu , Dejun Guo , Huan Tan
摘要： Human lying posture detections are disclosed. A human lying on a bed is detected by obtaining an image through a depth camera, detecting objects in the image and marking the objects in the image using 2D bounding boxes by deep learning, determining the human being in a lying posture in response to a width and a height of the 2D bounding box of the human meeting a predetermined condition, detecting one or more skin areas in the image and generating skin area 2D bounding boxes to mark each of the one or more skin areas using a skin detection algorithm, and determining the human being in the lying posture in response to the skin area 2D bounding boxes and the 2D bounding box of the bed meeting a predetermined positional relationship.
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公开(公告)号：US20230004739A1
公开(公告)日：2023-01-05
申请号：US17364743
申请日：2021-06-30
发明人： Chuqiao Dong , Dan Shao , Zhen Xiu , Dejun Guo , Huan Tan
摘要： Human posture determination is disclosed. Human posture is determined by obtaining range image(s) through a range camera, detecting key points of an estimated skeleton of a human in color data of the range image(s) and calculating positions of the detected key points based on depth data of the range image(s), choosing a feature map from a set of predefined feature maps based on the detected key points among a set of predefined key points, obtaining two features of a body of the human corresponding to the chosen feature map based on the positions of the detected key points, and determining a posture of the human according to the two features in the chosen feature map.
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13.发明申请公开(公告)号：US20220409469A1
公开(公告)日：2022-12-29
申请号：US17528158
申请日：2021-11-16
发明人： Yang Shen , Armen Gardabad Ohanian , Zhen Xiu , Muhammed Rasid Pac , Chengkun Zhang , Huan Tan
IPC分类号： A61H3/04 , A63B21/005
摘要： A method for controlling a robotic walking assistant that includes a wheeled base having one or more wheels, two handles and a foldable seat that are coupled to the wheeled base, includes: detecting whether two hands of a user have held the two handles of the robotic walking assistant; receiving a command from the user to select an operation mode in response to detection of the two hands holding the two handles; controlling the wheeled base to move in response to a walking assistive mode being selected; providing resistance to at least one of the one or more wheels according to selection of the user, in response to a walking training mode being selected; and locking the one or more wheels in response to a static training mode being selected.
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公开(公告)号：US11511437B2
公开(公告)日：2022-11-29
申请号：US16923069
申请日：2020-07-07
发明人： Marten Byl , Chengkun Zhang , Raymond Ma , Muhammed Rasid Pac , Huan Tan , Youjun Xiong
IPC分类号： B25J11/00 , B25J5/00 , B65G1/02 , B65G61/00 , B25J9/16 , B25J9/10 , B25J9/12 , B25J19/00 , B25J9/00 , B25J19/02 , G05D1/02
摘要： A wheeled base includes a housing, two driven wheeled mechanisms positioned on a bottom of the housing and on opposite sides of the housing, at least one passive wheel positioned on the bottom of the housing, actuated feet positioned on the bottom of the housing and configured to move up and down, sensors, and a battery pack arranged within the housing. The two driven wheeled mechanisms each includes a damping mechanism, and each damping mechanism includes at least two dampers configured to absorb impact caused by an upward movement of the housing, and absorb impact caused by a downward movement of the housing.
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公开(公告)号：US20220343530A1
公开(公告)日：2022-10-27
申请号：US17239697
申请日：2021-04-26
发明人： Dan Shao , Dejun Guo , Zhen Xiu , Chuqiao Dong , Huan Tan
摘要： On-floor obstacle detection using an RGB-D camera is disclosed. An obstacle on a floor is detected by receiving an image including depth channel data and RGB channel data through the RGB-D camera, estimating a ground plane corresponding to the floor based on the depth channel data, obtaining a foreground of the image corresponding to the ground plane based on the depth channel data, performing a distribution modeling on the foreground of the image based on the RGB channel data to obtain a 2D location of the obstacle, and transforming the 2D location of the obstacle into a 3D location of the obstacle based on the depth channel data.
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公开(公告)号：US11440198B2
公开(公告)日：2022-09-13
申请号：US16861200
申请日：2020-04-28
摘要： A control system for a neck mechanism includes a perception system configured to track movement of an object, and a perception control system that controls a rotary motor to yaw a platform and controls a first linear actuator and a second linear actuator that is in parallel with the first linear actuator to pitch and roll the platform according to a target position of the platform. The perception system tracks movement of the object by estimating its position and pose in 3D space and the platform is moved according to a vision-based position and pose estimation result.
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公开(公告)号：USD921081S1
公开(公告)日：2021-06-01
申请号：US29733173
申请日：2020-04-30
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公开(公告)号：US20240290097A1
公开(公告)日：2024-08-29
申请号：US18427775
申请日：2024-01-30
发明人： Kan Wang , Jianxin Pang , Huan Tan
CPC分类号： G06V20/46 , G06V10/761 , G06V10/7715 , G06V10/82 , G06V20/48
摘要： A method for extracting video features may include: obtaining a target video sequence that comprises a number of video frames; performing video frame feature extraction on the target video sequence to obtain video frame features of each of the video frames; performing feature weight calculation on each of the video frame features to obtain the feature weight of each of the video frame features; wherein the feature weight of each of the video frame features is determined by the video frame features of all of the video frames in the target video sequence; and performing feature weighting on each of the video frame features according to the feature weight of each of the video frame features to obtain video features of the target video sequence.
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公开(公告)号：US20240221345A1
公开(公告)日：2024-07-04
申请号：US18533199
申请日：2023-12-08
发明人： Kan Wang , Jiaxin Pang , Huan Tan
IPC分类号： G06V10/42 , G06V10/77 , G06V10/774 , G06V10/82 , G06V40/10
CPC分类号： G06V10/42 , G06V10/7715 , G06V10/774 , G06V10/82 , G06V40/10
摘要： A method for pedestrian body part feature extraction is provided, including: performing global feature extraction on a target pedestrian image to obtain a global feature map; learning each of body parts in the global feature map using a self-produced supervision signals-based self-regulated channel attention model to output first channel attention vectors each describing a respective one of the body parts; weighting the first channel attention vectors with the global feature map to obtain a weighted feature map describing the body parts; and extracting body part features of the target pedestrian image from the weighted feature map.
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公开(公告)号：USD997096S1
公开(公告)日：2023-08-29
申请号：US29796558
申请日：2021-06-25
摘要： FIG. 1 is a first perspective view of a docking station for moving device showing the claimed design in accordance with the present disclosure;
FIG. 2 is a second perspective view thereof;
FIG. 3 is a front elevational view thereof;
FIG. 4 is a rear elevational view thereof;
FIG. 5 is a left side elevational view thereof;
FIG. 6 is a right side elevational view thereof;
FIG. 7 is a top plan view thereof; and,
FIG. 8 is a bottom plan view thereof.
The broken lines in the Figures are for the purpose of illustrating portions of the article that form no part of the claimed design.
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