25 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 invention discloses a personnel action recognition system and method based on a deep neural network, and relates to the technical field of industrial safety monitoring, and the method comprises the steps: recognizing the identity information, sight direction and body orientation of a target person in an operation region through employing the deep neural network; determining the auxiliary monitoring capability of the first equipment and the target personnel to the second equipment; obtaining a monitoring condition of the target person on the first equipment and an auxiliary monitoring condition of the target person on the second equipment; monitoring conditions of the equipment in the monitoring area are obtained, risk assessment is carried out on the equipment in the operation area based on the monitoring conditions of the equipment, and risks of the equipment are assessed according to the monitoring conditions of the personnel on the equipment during operation of the equipment; the visual line direction of the personnel is identified by using the deep neural network technology, the operation timeline of the equipment and the monitoring timeline of the personnel on the equipment are generated, the risk condition of the equipment is evaluated based on the operation timeline of the equipment, and a reference can be provided for equipment maintenance.

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.

The present application discloses a method, apparatus, storage medium and device for preventing accidental touches on a large screen, which obtains image frames captured by a camera device pre-installed on the large screen. The human body posture is recognized for the character to obtain the plane coordinates of the key points of the face. The plane coordinates of the key points of the face are used as feature variables of the image frame and input into the classification model to obtain the classification results output by the classification model. When it is detected that in a plurality of image frames captured by the camera device within a preset time period, the body orientation of the character is all facing away from the large screen, the operating system is controlled to generate a transparent mask. When it is detected that the operating system has generated a mask, and in a plurality of image frames captured by the camera device within a preset time period, the body orientation of the character is all facing the large screen, the operating system is controlled to close the mask. It can be seen that the solution described in the present application can effectively prevent the operating system from executing useless control instructions due to accidental touches.

The present application relates to a multimedia information output control method, a control device, a system, and a storage medium. By obtaining the included angle formed between the body orientation of the person appearing in front of the target device and the target device, wherein the target device includes a display screen and / or a speaker, and the target device is used for outputting multimedia information; determining whether the included angle is not less than a preset included angle threshold; in the case where it is determined that the included angle is not less than the preset included angle threshold, adjusting the operating state of the target device from a first state to a second state, which solves the problem of the contradiction between the screen operation energy consumption and the display effect in the related art, and while saving the operation energy consumption of the display screen, also ensures a reasonable display effect.

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.

This article is a muscle training device that can train various parts of the body. As shown in the reference perspective view indicating the names of each part, this article includes a main body consisting of a base part, a front support column, a rear support column, and a ceiling part, an arm attachment part attached to the front support column, a pair of guide rods fixed to the ceiling part and the base part, and a weight stack, which is a load, attached to the guide rods. The arm attachment part is attached to the front support column in a stepwise height-adjustable manner. A pair of arms extending in the left-right direction are attached to the arm attachment part. Each arm is attached in a stepwise angle-adjustable manner within a range of 180° in the vertical direction. The weight stack is attached to the guide rod so as to be movable in the vertical direction along the guide rod. A cable is arranged between the weight stack and each arm via a plurality of pulleys. The tip of the cable on each arm side is drawn out through a pulley provided at the tip of each arm, and a grip member (not shown) for the user to hold is attached to the tip of the cable. When the user holds the grip members (not shown) in both the left and right hands and moves the arms to pull out the cable, the weight stack rises along the guide rod, and when the arms are returned to the original position, the weight stack descends. The user can train various parts of the body by changing the combination of the height of the pair of arms, the angle of each arm, and the body orientation, and moving the arms as described above while holding the grip member.

This application belongs to the field of robot technology, and particularly relates to a robot door-opening method, device, computer-readable storage medium, and robot. The method determines a first movement radius of the robot's hand around the door axis, a second movement radius of the robot's waist around the door axis, and the body orientation adjustment angle required for the line connecting the centers of the robot's two feet to pass through the door axis; determines the planned trajectory of the robot's hand and the planned trajectory of the waist according to the first movement radius, the second movement radius, and a preset door-opening angle; and controls the robot to perform a door-opening operation according to the planned trajectory of the hand and the planned trajectory of the waist. Through the above method, the hand trajectory and the waist trajectory of the robot can be simultaneously planned according to the movement radius, and the robot is controlled to perform a door-opening operation according to the obtained planned trajectory of the hand and the planned trajectory of the waist, improving the movement coordination of the robot and achieving precise control of the whole-body movement of the robot.

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.

Disclosed embodiments provide systems and methods for simulation of firearm discharge and training of armed forces and / or law enforcement personnel. A motion tracking system tracks motion of one or more users. In embodiments, the users wear one or more sensors on their bodies to allow tracking by the motion tracking system. A scenario management system utilizes position, orientation, and motion information provided by the motion tracking system to evaluate user performance during a scenario. A weapon simulator includes sensors that indicate position of the weapon and / or orientation of the weapon. The weapon simulator may further provide trigger activation indications to the scenario management system. In embodiments, the scenario management system generates, plays, reviews, and / or evaluates simulations. The evaluation can include scoring based on reaction times, posture, body position, body orientation, and / or other attributes.

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.

Systems that enable fine adjustment of the orientation of optics components housed in those systems. Systems include an adjusting body, a mounting ring, and a set of coil springs pulling those two together. Three adjustment pillars interact with the adjusting body such that rotation or manipulation of any of the adjustment pillars brings about reorientation of the adjusting body. Adjustment pillars contact the mounting ring in radially oriented grooves to prevent thermal expansion or contraction from negatively affecting adjusting body orientation and to facilitate smooth reorientation of the adjusting body during normal operation.

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.

Disclosed herein is a medical instrument (100, 300). Execution of the machine executable instructions cause the processor (106) to receive (206) a set of joint position coordinates (128) for a subject (118) placed on a subject support (120), receive (207) a body orientation (132) in response to inputting the set of joint position coordinates into a predetermined logic module (130), calculate (208) a torso aspect ratio (134) from the set of joint position coordinates. If (210) the torso aspect ratio is greater than a predetermined threshold (136), then (212) the body posture of the subject is a lateral decubitus posture. Execution of the machine executable instructions further cause the processor to assign (220) the body posture as a supine posture if the torso aspect ratio is less than or equal to the predetermined threshold, if the subject is face up on the subject support, or as a prone posture if the subject is face down on the subject support. Execution of the machine executable instructions further cause the processor to generate (216) a subject posture label (142).

A fire exposure protection sprinkler assembly provides fire exposure protection for one or more windows and includes a fire exposure protection sprinkler, a sealing assembly configured to unseal in response to a fire such that fire exposure protection fluid may flow from the fire exposure protection sprinkler, and a housing having a pair of legs, with each of the legs having an aperture. The assembly also includes a deflection assembly configured to extend from the housing due to gravity and activation of a cover plate, with a deflector configured to disperse the fire exposure protection fluid over the one or more windows so as to wet the one or more windows.

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.

A fire exposure protection sprinkler assembly provides fire exposure protection for one or more windows and includes a fire exposure protection sprinkler, a sealing assembly configured to unseal in response to a fire such that fire exposure protection fluid may flow from the fire exposure protection sprinkler, and a housing having a pair of legs, with each of the legs having an aperture. The assembly also includes a deflection assembly configured to extend from the housing due to gravity and activation of a cover plate, with a deflector configured to disperse the fire exposure protection fluid over the one or more windows so as to wet the one or more windows.

The present invention provides a method for controlling an air conditioner, comprising: step S1: activating a multi-child air blowing mode; step S2: detecting the position of each child's head and foot relative to the air conditioner, and determining the air blowing angle formed by the air conditioner's air blowing plate when passing each child based on the position of each child's head and foot relative to the air conditioner; and step S3: setting the time proportion for the air blowing plate to pass each air blowing angle based on the angle of each air blowing angle. The present invention solves the problem that existing air conditioners cannot adjust the air blowing state to a comfortable level based on the body orientation of each child in a children's room.