262 results about "Motion sensing" patented technology

The invention discloses a reference video object segmentation method based on semantic consistency and motion perception. The method comprises the following steps: 1, constructing semantic prompt information and video frame information of a reference video object segmentation data set; 2, preprocessing the reference video object segmentation data set; 3, establishing a reference video object segmentation model based on semantic consistency and motion perception: designing a double-branch decoupling strategy for decoupling feature information at semantic and visual levels so as to extract static and motion information of text description and visual features; a hierarchical motion sensing module is designed to capture and align motion information between different frames, and analyze short-term and long-term motion information, so that the model obtains a sensing ability for a long-term motion mode; the semantic consistency module is designed to align semantic description and video features, so that the accuracy of target selection and the integrity of masks are improved, and false detection of negative samples is avoided; a perceptual dynamic fusion mechanism is designed to be used for embedding text information into a visual feature space, so that visual features can obtain text semantic information, and the cross-modal understanding ability of the model is enhanced; 4, constructing a loss function, updating model parameters, setting training parameters, and training to obtain an optimal weight; and 5, detecting the test set image based on the optimal weight to obtain a final segmentation result. According to the method, static and dynamic information is effectively decoupled, the sensing ability to an object motion mode is enhanced, and the segmentation performance is improved.

The invention relates to the field of medical information monitoring, and discloses a doctor monitoring bracelet for receiving infusion information of a patient, comprising: a multispectral sensing module for collecting an original physiological light intensity signal of the wrist of the patient; the motion sensing module is used for collecting motion signals; the micro-electro-mechanical motion compensation module is configured on the multispectral sensing module; the processor is electrically connected with the multispectral sensing module, the motion sensing module and the micro-electro-mechanical motion compensation module; and the communication module is electrically connected with the processor. By integrating a high-sensitivity multispectral sensing module and a micro-electro-mechanical active motion compensation system and combining an advanced signal processing algorithm, the accuracy of real-time monitoring of key vital signs of a patient in a complex infusion scene is remarkably improved, more reliable patient infusion information is provided for a subsequent multi-head infusion intelligent switching control system, and the infusion safety of the patient is improved. High fidelity of a data source is ensured, and tedious work of medical staff is reduced.

Systems and methods for predicting problem behavior in individuals with developmental and behavior disabilities. A plurality of sensors are configured to collect multimodal data signals of a subject individual including a wearable upper body motion sensing device with a plurality of inertial measurement units (IMUs). An electronic controller is configured to receive output signals from each of IMUs and to model an upper body position of the subject individual based on the output signals from the IMUs. A trained machine-learning model is then applied by providing an input data set that includes multimodal signal data (e.g., including signal data from at least one IMU) and / or features extracted from the multimodal signal data. The machine-learning model is trained to produce as output an indication of whether a precursor to the problem behavior is detected and, in response to detecting the precursor, a notification (or alarm) is generated.

The disclosure provides devices, systems, and methods for physical therapy. Electrical signals are applied to a subject via electrodes in a device worn on the body part receiving the therapy. The device can be operated remotely. The device can use artificial intelligence to evaluate and design physical therapy routines using the electrodes.

The invention relates to the technical field of data processing, and discloses a mobile robot voice data control method and system based on artificial intelligence. The method comprises the steps that three-channel voice data streams are collected through a multi-channel microphone array, and time synchronization processing is carried out on the three-channel voice data streams and robot motion state data; calculating a motion intensity value according to the motion state data, and performing motion compensation through an MSAP algorithm; inputting the compensated voice signal into a double-path convolutional neural network to extract motion sensing voice features; jointly coding the speech features and the motion state vectors through an MS-LSTM network, and obtaining a speech recognition text by adopting a CTC loss function; and carrying out cross-modal fusion on the text and the robot state information, and carrying out intention recognition through a hierarchical classifier to obtain a structured control instruction. The technical problem that the mobile robot is poor in voice instruction recognition accuracy and high in control delay in a dynamic environment is solved.

The invention discloses a non-therapeutic-purpose hearing and perception training device for non-invasive free mouse training and auditory cortex plasticity stimulation. The device comprises a soundproof box, a training device body in the soundproof box and a processing control system located outside the soundproof box. The training device main body in the soundproof box comprises a training box body, a water and air supply device, an animal action sensing device, an animal position sensing device, a loudspeaker and an illuminating lamp; the training box body comprises an open box and a dark box, and the animal position sensing device is arranged at the relative position of the junction of the open box and the dark box and the relative position of the side wall of the dark box; the processing control system located outside the soundproof box comprises a water and gas control device, a power amplifier and a control computer. The invention further discloses a method and application of the training device in auditory cortex plasticity induction and auditory perception training, and the training device has wide application prospects.

The invention provides an intelligent simulation training bomb for ground attack of an unmanned aerial vehicle. The training bomb comprises a bomb body, a thrust reverser, a fairing, a mounting frame, a smoke tank and a control module. Wherein a gas cabin is arranged in the bomb body, and the thrust reverser is composed of an electromagnetic valve and a multi-way pipe. The mounting frame integrates a fuming tank, a control module and a motion sensing module, and the control module calculates the falling speed, the grounding time and the position coordinates in real time based on data of all sensors of the motion sensing module so as to control the electromagnetic valve to be opened, so that compressed gas in the gas cabin is ejected from a reverse thrust gas opening in the circumferential direction of the fairing through the multi-way pipe; in combination with deformation buffering of the fairing made of an elastic material, nondestructive recovery of the training bomb is achieved, and repeated use is facilitated. And meanwhile, the fuming tank is controlled to trigger and release tracing smoke, so that an impact point is marked, and parameters such as latitude and longitude during landing are sent to a ground guide training system to serve as an evaluation basis of throwing precision.

Motion-based management of a logistics container uses elements of a wireless node network including a container node associated with the logistics container and equipped with a motion sensor. The motion sensor detects a motion status (e.g., moving, stationary, accelerating, decelerating) for the logistics container. The container node compares the motion status to a prior motion status, and then identifies a changed motion condition for the logistics container based upon the comparison. In response to the changed motion condition, the container node alters a broadcast profile used by the container node in communicating with other nodes in the wireless node network. The container node may be deployed as an apparatus within a logistics container, be considered together with the logistics container as a motion sensing container node apparatus, and be considered with multiple package ID nodes as a motion-based management system for the logistics container.

The invention discloses remote control equipment, which comprises an equipment main body, a first detection component integrated on the equipment main body, a motion sensing module and a controller, the controller is programmed to execute the following logic: when the detection values of the first detection assembly and the motion sensing module jointly meet a preset cooperation condition, the first terminal is remotely controlled to execute a target operation. The remote control accuracy is improved through a dual verification mechanism, instructions such as song switching, volume adjustment and connection equipment switching can be triggered by combining actions such as inclined shaking and knocking when a user presses or touches, an interface is simplified, and functions are expanded. The design of the nested touch control and the optical sensor can distinguish finger operation from clothes mistaken touch, and the terminal switching mechanism of long pressing and knocking further reduces the risk of mistaken triggering. The device can be designed into a ring shape, and is small in size, high in customization and reliable in remote control experience.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for advanced device naming and localization of Wi-Fi connected devices at a location. The disclosed framework operates to manage, control and / or manipulate devices on a Wi-Fi network, which provides intuitive mechanisms to select devices to name, group and / or locate in a WiFi app with WiFi motion and / or detected gesture(s) by leveraging voting and ranking mechanisms via a compiled cross-correlation matrix of channel frequency response (CFR) motion signatures and / or channel state information (CSI) motion signatures. Accordingly, motion signature information can be leveraged to control, enable and / or permit Wi-Fi connections among and / or between devices at a location.

The invention relates to the technical field of image recognition, in particular to an intelligent recognition and detection method for preceding vehicle starting. The method comprises the following steps: acquiring an image of an automobile data recorder, and judging whether an automobile is in a static or moving state; extracting a plurality of view angle regions and carrying out region separation according to texture density; detecting the area smoothness to determine a motion detection sensitivity; and according to the state and sensitivity of the vehicle, front vehicle starting identification is carried out on each area, starting early warning response is sent out based on an identification result, and the detection accuracy and real-time performance are improved. According to the method, the driving video and the motion sensing data are fused, and multi-view region segmentation, adaptive sensitivity adjustment and a dynamic early warning mechanism are combined, so that high-robustness and high-precision recognition of the starting behavior of the front vehicle under various illumination and working conditions is realized, and the method has good universality and compatibility.

The invention provides a self-generating wearable motion sensing device convenient for collecting motion information. The self-generating wearable motion sensing device comprises two hinged torsion arms, a rotating shaft of the one-way rotating disc assembly and a hinged shaft of the two torsion arms are coaxially arranged, a plurality of protruding parts are arranged in the circumferential direction of the one-way rotating disc assembly, and a plurality of piezoelectric triggering units are arranged on the rotating disc in the circumferential direction. The piezoelectric module comprises a piezoelectric cantilever, one end of the piezoelectric cantilever is fixed with one torsion arm, and the other end of the piezoelectric cantilever is matched with the piezoelectric trigger unit; the friction electricity module is connected with the other torsion arm and comprises two films, the two films are oppositely arranged, and the protruding part can be matched with the first film, so that the two films are close to or away from each other. According to the invention, the piezoelectric module is matched with the piezoelectric trigger unit, and the triboelectric module is matched with the lug boss, so that the legs are matched with the piezoelectric trigger unit and the triboelectric module respectively in two stages included in one walking period, and motion signals in different stages in the walking period are collected respectively; therefore, the accuracy of signal acquisition is improved.

The invention discloses a spinal cord electrical stimulation control method and system based on tremor detection. The method comprises the following steps: acquiring motion sensing data of a user; extracting tremor signal features of the user according to the motion sensing data and a preset feature extraction algorithm; determining an electrical stimulation parameter corresponding to the tremor signal feature according to a preset electrical stimulation parameter determination rule; according to the electrical stimulation parameters, generating an electrical stimulation control instruction corresponding to electrical stimulation equipment arranged in a spinal cord area of the user; the electrical stimulation control instruction is used for indicating current output of the electrical stimulation equipment. Therefore, accurate nerve intervention control in combination with tremor monitoring and spinal cord electrical stimulation can be realized, the physical therapy inhibition effect of electrical stimulation physical therapy measures on the tremor of the user is improved, and more efficient and accurate nerve regulation and control service is provided for the user.

The invention relates to virtual pipetting. The method for generating the control program of the laboratory automation equipment comprises the steps that configuration data of the laboratory automation equipment are received, and the configuration data encode the positions of components in the laboratory automation equipment; generating a three-dimensional model of the assembly of the laboratory automation equipment according to the configuration data, wherein the three-dimensional model further comprises a virtual pipette; displaying the three-dimensional model by using a virtual reality headset; receiving movement data of a motion sensing controller controlled by a user wearing the virtual reality headset, the movement data indicating three-dimensional movement of the motion sensing controller in space; determining movement of the virtual pipette in the three-dimensional model according to the movement data and updating the three-dimensional model according to the movement; a control program for the laboratory automation device is generated on the basis of the movement data, and the control program moves a pipette-bearing pipette arm of the laboratory automation device relative to the assembly on the basis of the movement of the virtual pipette in the three-dimensional model.

A motion sensing mount apparatus for mounting to a building corner, tree, or the like and directing a camera toward a source of detected motion includes a structure mounting bracket which mounts to a support structure. A support module is removably coupled to and extending away from the structure mounting bracket. A camera is movably mounted atop the support module via a turntable or the like. Motion sensors detect motion and a direction from which the motion occurred relative to the camera. A drive mechanism is operable to rotate the turntable to direct the camera toward the source of the motion.

The invention relates to the technical field of ship hoisting control, in particular to a ship hoisting heaving active control system based on hydraulic compensation, and adopts the technical scheme as follows: precise advanced prediction of heaving motion of a ship in future 2-5 seconds is realized by integrating a motion sensing and prediction module and adopting a time sequence prediction model based on a long short-term memory network; a core control decision module adopts a model prediction control strategy fused with multi-source data to uniformly optimize multiple targets such as load stability, energy consumption and equipment wear; internal and external state changes of the system are sensed in real time through a system state monitoring and self-adaption module, control parameters are adjusted on line based on a fuzzy rule base, and the system is endowed with self-adaption capacity for coping with load changes, sea condition fluctuation and component performance degradation in the whole life cycle; a closed volume control scheme that a servo motor directly drives a two-way metering pump is adopted in the hydraulic execution and compensation module, throttling loss in a traditional valve control system is abandoned, and efficient conversion between hydraulic energy and mechanical energy is achieved.

The invention relates to the technical field of education, in particular to a health education interaction system and method based on virtual reality and deep learning. The health education interaction system creatively integrates motion sensing games, VR video teaching, personalized reading and a body measurement motion module, and all-around and immersive learning experience is created; the system motivates the participation degree of a user through a motion sensing game, interactive learning is achieved through VR video teaching, personalized reading meets the requirements of the user, and the health state is monitored through motion measurement. The intelligent analysis module is used for deeply mining data and providing personalized health assessment and suggestions; the self-learning unit continuously optimizes a knowledge base and a recommendation algorithm, and constructs a dynamic health knowledge graph; the system breaks through the limitation of traditional health education, improves the knowledge propagation efficiency and acceptance, effectively promotes the formation and maintenance of health behaviors, and brings revolutionary change to the field of health education.

The invention discloses a preparation process of a flexible stretchable surface electromyographic motion sensing integrated electrode, and particularly relates to the field of flexible electronic technology and biomedical engineering.The electrode adopts thermoplastic polyurethane or polydimethylsiloxane as a substrate material, and conductivity and fatigue resistance are improved through doping of graphene quantum dots. The electrode comprises a myoelectricity sensing layer and a motion sensing layer, wherein the myoelectricity sensing layer is constructed through electrostatic spinning of a TPU nanofiber net and spraying of liquid metal, and the motion sensing layer forms a snakelike microcrack structure through silk-screen printing of a silver nanowire / TPU mixed material. The honeycomb-shaped insulating layer is used for isolating bimodal signals, and long-acting antibiosis and air permeability are achieved in combination with the self-repairing adhesion layer. After packaging, a Bluetooth 5.0 chip and a miniature lithium battery are integrated, and wireless signal transmission is supported.

An interactive game system for implementing an interactive game in a room. The interactive game system includes a motion sensing module, a control unit, a projection module, and a lighting module. The motion sensing module senses movement of a real-world element and surface interaction data representative of a contact between the real-world element and an interactive surface is generated therefrom. The control unit generates graphic instructions and lighting instructions based on the surface interaction data, in accordance with an implementation of a gameplay of the interactive game. The projection module receives the graphic instructions from the control unit and projects graphics on the interactive surface in accordance therewith. The lighting module receives the lighting instructions from the control unit and performs illumination of a section of the room distinct from the interactive surface in accordance therewith.

The invention discloses a motion sensing game linear acceleration anti-drifting method fusing space anchor points, and belongs to the technical field of motion sensing game pose tracking. The method comprises the following steps: synchronously acquiring IMU (Inertial Measurement Unit) original data and a space anchor point absolute pose; the method comprises the following steps: preprocessing IMU data, resolving an attitude matrix in real time by utilizing the angular velocity of a gyroscope, estimating attitude, velocity and displacement, and constructing a state vector; by taking the anchor point pose as observation, through fusion of extended Kalman filtering and state estimation, the optimal estimation is corrected, and the sensor error is calibrated on line; the six-degree-of-freedom pose and the linear acceleration are output to drive a game role to interact with an object, meanwhile, the correction state is fed back to a filter to form a closed loop, integral drift is remarkably restrained, and long-term precision and robustness are improved.

The invention provides a projection image correction system and method and a non-transitory computer readable recording medium. The projection image correction system comprises a projector and a portable electronic device. The method comprises the following steps: displaying a user interface with a plurality of icons in a portable electronic device; displaying a function interface corresponding to the selected icon; responding to the operation of the function interface and the sensing of the acceleration sensor, and respectively receiving first motion sensing data and second motion sensing data from the acceleration sensor at a first time point and a second time point in sequence; a parameter correction amount calculation unit that calculates a parameter correction amount corresponding to the type of function of the operation on the basis of the first motion sensing data and the second motion sensing data; and transmitting the function type and the parameter correction value to the projector at a second time point, so that the projector adjusts the projection image based on the function type and the parameter correction value.

The invention relates to the technical field of ultrasonic imaging, in particular to three-dimensional ultrasonic equipment integrating a photoelectric sensor and a motion sensor and a reconstruction method, and the equipment comprises an ultrasonic probe module which is used for obtaining a two-dimensional ultrasonic image sequence; the photoelectric sensing module is used for detecting the translational motion of the probe and generating planar motion information; the motion sensing module is used for detecting the rotary motion of the probe and generating space attitude information; the image processing module is used for performing feature extraction and segmentation on the image sequence through a pre-training image segmentation model to obtain a segmentation result; and the three-dimensional reconstruction module is used for performing space fusion and volume data reconstruction on the image and the segmentation result based on the motion and attitude information to generate a three-dimensional image. According to the invention, real-time high-precision tracking of the spatial pose of the probe is realized, the recognition capability of tissue boundaries and lesions is improved in combination with image segmentation, an accurate three-dimensional reconstruction image is generated through multi-source data fusion, and the visualization and diagnosis reliability of a complex structure is remarkably enhanced.

The invention discloses a pipeline detection robot and a control method thereof, and belongs to the technical field of pipeline detection. A pipeline detection robot comprises a robot body, power devices installed at the two ends of a pipeline and a control unit located on the outer side of the pipeline, an inertial sensor is arranged in the robot body, each power device comprises a front air blower and a rear air blower, and the front air blower and the rear air blower are each provided with a control module. The control unit comprises a motion sensing unit and a motion control unit which is in electric signal connection with the motion sensing unit; according to the invention, the motion sensing ability and motion control of the inertial sensor arranged in the detection robot and an external power supply device are integrated, so that the detection robot does not need a built-in power system and an extra energy system, the size and weight of the robot are greatly reduced, and the robot can be easily applied to superfine and complex pipelines; and the applicability of the method in different pipeline scenes is remarkably improved.

The application relates to the technical field of intelligent decision-making, and discloses a prewarning method, device and equipment based on non-contact sensing and a medium, which comprises the following steps: collecting non-contact body motion sensing data and thermal distribution imaging data, fusing and constructing a real-time human body digital model; extracting motion trajectory features and posture features based on the real-time human body digital model and performing behavior context reasoning to identify abnormal behavior events; generating vital sign data when the abnormal behavior events are identified; determining a risk first-aid level according to the type of the abnormal behavior events and the vital sign data, and executing corresponding graded emergency dispatch strategies. The application can be applied to home health monitoring and other business scenarios, precise identification and graded response of abnormal behaviors and health risks are realized by fusing body motion and thermal imaging information and combining context reasoning, and the monitoring accuracy and timeliness are improved while privacy is ensured.

1. The name of this design product: Smart sensor (built-in snap-on type). 2. Purpose of this design product: Used for intelligent sensing and interconnection of LED lamps, realizing the functions of motion sensing and automatic brightness adjustment and control of intelligent lighting systems. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

A locking system. The locking system includes a first portion including a locking slot and a second portion including a locking tab. The first portion is configured with a panel of a utility box and the second portion is configured with a side of the utility box. When the utility box panel is closed, the locking tab is received into the locking slot and a locking pin is configured to lock the locking tab therein. The system includes guards that limit access to the locking tab and to the locking pin thereby minimizing potential tampering of the system. The system also includes a motion sensing system and a communications module.

A coordinate locating device comprising a support structure removably connectable to a wearable sensor device being worn by an individual. The support structure comprising a planar surface. The device includes a plurality of different fiducial marker components connected to the planar surface. The plurality of different fiducial marker components includes a set of fiducial markers connected to the planar surface in a non-collinear configuration relative to each other to define a three-dimensional (3D) space of pixels in an image. The plurality of different fiducial marker components includes a distance calibration fiducial marker connected to the planar surface and being configured to define a distance calibration length of pixels in the image, the distance calibration fiducial marker being perpendicular to the planar surface and defining a calibration length to locate a point of origin of motion sensing by the wearable sensor device. A system and method are also provided.

The invention provides a robot off-ground state detection model training method and device, and relates to the technical field of sensors and robots. The method comprises the following steps: respectively applying a vertical external force and a transverse external force to a robot in a training environment to obtain two types of training sample data, and inputting simulated motion sensing data in the training sample data into a neural network model to be trained to obtain a predicted robot off-ground state and type. And finally, a joint loss function is constructed according to a model prediction result and a real label, and neural network parameters are optimized according to the joint loss function, so that a detection model capable of simultaneously judging an off-ground state and an off-ground category is obtained through training. According to the invention, joint identification of the ground clearance state and the ground clearance type of the robot can be realized, and rapid judgment and response decision making of the robot in various ground clearance scenes can be supported.

The invention relates to the technical field of health monitoring, in particular to a foot multi-area temperature and humidity cooperative monitoring system and method for diabetic foot ulcer risk prediction.The intelligent sensing terminal is integrated with a distributed temperature and humidity sensor array, a motion sensing unit, a microprocessor and a first wireless communication module through a flexible circuit; the mobile relay terminal is internally provided with a second wireless communication module and a terminal application program, the cloud analysis platform is deployed with a time sequence database, an artificial intelligence analysis engine and a message push service, and the medical interaction terminal provides a visual interface for medical staff and patients. According to the system and the method, real early warning is realized, the accuracy and the reliability of risk assessment are improved, a complete collaborative closed-loop system is constructed, efficient energy management and excellent user experience are realized, long-term self-optimization and self-adaptive evolution capabilities are also realized, and the clinical value of the system and the method is continuously improved.

Described herein are various embodiments for customized device pairing based on device features. An embodiment operates by receiving, from a first device, a message indicating motion sensing capability of the first device available for pairing the first device with a second device, wherein the first device does not include an alphanumeric keypad. A sequence of actions to be performed on the first device is generated. The sequence of actions is provided for display. An indicia indicating a set of one or more actions performed on the first device is received. It is determined that the set of one or more actions of the indicia corresponds to the sequence of actions provided for display, and the first device is paired with a second device.