13 results about "Body orientation" patented technology

To provide a sleep check system or the like capable of collectively displaying and collectively confirming and inputting the directions or the like of the bodies of a plurality of object persons.SOLUTION: An infant sleep check system for checking sleep states of a plurality of subjects includes a detection unit configured to detect a body orientation of each of the subjects for each first predetermined period and a body temperature of each of the subjects for each fourth predetermined period, a collection unit configured to generate posture information indicating the body orientation including a supine state and a prone state for each of the subjects and generate information indicating a body temperature for each of the subjects, and a display unit configured to collectively display text information indicating that the body orientation is supine using a list for the number of subjects and display the body temperature for each of the subjects for the number of subjects.SELECTED DRAWING: Figure 1

The application discloses an autism child social interaction behavior video image analysis method and system, belongs to the technical field of computer vision and medical image analysis, and comprises the following steps: a video acquisition step, wherein video images of a child and an assessor performing a structured social interaction task are acquired through a multi-angle camera; a human body posture estimation step, wherein two-person skeleton key point detection is performed and posture parameter sequences are calculated; a social signal detection step, wherein key social behavior events such as eye contact, social smile, directional gesture and body orientation response are identified; an interaction synchronism analysis step, wherein the time coupling degree of posture changes of both parties is calculated through cross-correlation analysis; and an evaluation report generation step, wherein a social interaction ability evaluation report is generated in the form of a radar chart by comprehensively considering multi-dimensional features. The application realizes objective quantitative evaluation of the social interaction ability of an autism child and improves the consistency and repeatability of evaluation.

The present invention relates to smartphones, systems and methods implemented in electronic devices. Described herein are techniques and systems that enable smartphones, systems and methods implemented in electronic devices. The techniques and systems use a radar field to accurately determine a user's position and body orientation relative to an electronic device, such as a smartphone. The radar field also enables the device to receive 3D gestures from the user to interact with the device. The techniques allow the device to provide functionality based on the user's presence and orientation, and to appropriately adjust the timing, content and format of the device's interaction with the user.

A method for distraction alert is implemented by a system disposed on a vehicle, the method includes: obtaining a video recording that contains a body portion and a head portion of a human body in real time; obtaining a body orientation of the body portion and a head orientation of the head portion based on the video recording; comparing the body orientation and the head orientation, so as to obtain a value of a relative angle between the body orientation and the head orientation; determining whether the value of the relative angle is greater than a predetermined threshold; and in response to determining that the value of the relative angle is greater than the predetermined threshold, outputting an alert message.

The utility model discloses an electric bed frame capable of rotating out and lowering feet. The electric bed frame comprises a movable frame, a lifting frame, a rotating frame and a bed plate assembly, the bed board assembly comprises a back bed board, a hip bed board, a leg bed board and a foot bed board; the two sides of the movable frame drive the lifting frame to move up and down through lifting motor assemblies correspondingly, and the middle of the lifting frame drives the rotating frame to rotate through a rotating motor assembly. A hip bed board and a leg bed board are fixedly connected to the upper portion of the rotating frame, one side of the rotating frame drives the back bed board to be rotationally connected with the hip bed board through a back motor assembly, and the other side of the rotating frame drives the foot bed board to be rotationally connected with the leg bed board through a foot motor assembly. The multifunctional bed can meet the requirements for the height of the bed in different scenes and has the functions of body orientation, getting up, assisting a user in getting in and out of the bed safely and the like, and therefore the use requirements of old people and people with postoperative rehabilitation or limited lower limb movement are met.

The invention provides a rendering method, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: respectively determining a plurality of angle ranges to which body orientation angles of a plurality of digital persons belong, and determining a texture map of at least one digital person in each angle range according to the plurality of angle ranges and a plurality of texture maps corresponding to the plurality of digital persons; combining the texture images of at least one digital human in each angle range to obtain a combined texture image; and rendering the combined texture image. The rendering efficiency can be improved.

The application discloses a personnel action recognition system and method based on a deep neural network, relates to the technical field of industrial safety monitoring, and utilizes a deep neural network to recognize identity information, a line-of-sight direction and a body orientation of a target personnel in a work area; determines an auxiliary monitoring capability of a first device and the target personnel on a second device; obtains a monitoring situation of the target personnel on the first device and an auxiliary monitoring situation of the target personnel on the second device; obtains a monitoring situation of a device in a monitoring area, performs risk assessment on the device in the work area based on the monitoring situation of the device, and performs risk assessment on the device according to the monitoring situation of the personnel on the device when the device is working; the line-of-sight direction of the personnel is recognized by utilizing the deep neural network technology, a work time line of the device and a monitoring time line of the personnel on the device are generated, the risk situation of the device is assessed based on the work time line of the device, and reference can be provided for device maintenance.

The application provides a vehicle body orientation identification method, device and equipment, and relates to the technical field of computers. The method comprises the following steps: determining whether the point cloud cluster distribution of a target vehicle is L-shaped and incomplete; in the case where it is determined that the point cloud cluster distribution is L-shaped and incomplete, determining a target point cloud region of the point cloud cluster based on the point cloud cluster distribution; and performing trunk component analysis on the target point cloud region to determine the vehicle body orientation of the target vehicle. The scheme of the application solves the problems of high labor cost and insufficient detection accuracy of the existing vehicle body orientation identification method.

This invention relates to the field of smart elderly care monitoring technology, and discloses a monitoring method and system for high-risk groups in elderly care institutions based on integrated medical and elderly care. By modeling the process of returning to the room after an activity as a complete care task, walking, pausing, turning, and stopping at the door in video images are no longer understood as ordinary actions in isolation, but are continuously analyzed under the constraint of whether the elderly person successfully returns to their own room. Features such as target consistency, head and body orientation differences, approaching the elderly person's own room door without entering, and stopping at the door of a non-elderly person's room are introduced. Before the elderly person falls or mistakenly enters another room, the system can identify whether the process of returning to the room has deviated. It can also restore the disorientation behavior that is fragmented under the condition of crowd obstruction to the same continuous event, and more accurately distinguish between normal return to the room, short-term waiting, and true disorientation and wandering. This solves the problem that existing monitoring methods are difficult to continuously identify the deviation of the intention of high-risk elderly people returning to their rooms and the disorientation and wandering process in the scenario of returning to the room after an activity.

Systems and methods are disclosed for determining a body orientation of a subject. A device may be secured to the subject which comprises a housing, a first pair of electrodes in an internal chamber defined by the device, and a conductive material in the internal chamber. The first pair of electrodes may be associated with a first orientation of the device such that when the device is placed in the first orientation, the conductive material is positioned, due to the effects of gravity, to complete a first circuit between the first pair of electrodes. Further pairs of electrodes may be included, each of which may have their circuits completed by the conductive material when the device is placed in a certain orientation. Readings from these pairs of electrodes may be used to determine the subject's body orientation.

The invention provides an AI-assisted diabetic foot patient nutrition auxiliary system, which comprises a camera system arranged at an entrance of an indoor living room and a house, a home computer connected with the camera system and used for shooting walking images of a diabetic foot patient at multiple angles, and a server used for analyzing foot and body orientations and medical institutions according to a preset first AI algorithm, and the control module is used for accessing the home computer, transmitting the analysis result of the first AI algorithm, further analyzing the gait by adopting a second AI algorithm, and making a nutrition decision. According to the nutrition auxiliary system, monitoring data is not needed, the tissue damage type is judged by means of the walking posture, and the nutrition recommendation decision needed by the diabetic foot patient is efficiently achieved.

Systems and methods are disclosed for determining a body orientation of a subject. A device may be secured to the subject which comprises a housing, a first pair of electrodes in an internal chamber defined by the device, and a conductive material in the internal chamber. The first pair of electrodes may be associated with a first orientation of the device such that when the device is placed in the first orientation, the conductive material is positioned, due to the effects of gravity, to complete a first circuit between the first pair of electrodes. Further pairs of electrodes may be included, each of which may have their circuits completed by the conductive material when the device is placed in a certain orientation. Readings from these pairs of electrodes may be used to determine the subject's body orientation.

The application relates to the technical field, in particular to a conference room personnel distribution recognition and layout optimization method and system based on computer vision, which constructs a conference table and chair contour and maps a functional area through contrast of brightness of unmanned video frames, accurately recognizes a visible area of personnel by background difference and human body shape features, corrects edge abnormities aiming at a desktop shield, locks actual occupancy according to plane mapping density, determines an orientation and a person-seat attribution in combination with a head-trunk connection line, finally discriminates against illegal seats and outputs a conference room layout optimization result.The application constructs a table and chair space contour by brightness difference to distinguish personnel from background, extracts a change area, recognizes a head and a trunk, eliminates abnormities, maps a plane to generate high-precision personnel distribution, analyzes body orientation and seat relative position, evaluates passage and demonstration area influence in combination with a channel and a demonstration area, judges seat overlapping and spacing conditions, thereby formulates a targeted adjustment direction and optimizes the layout.