108 results about "Motion Aid" patented technology

The invention relates to the technical field of medical robots, and particularly discloses a complex scene simulation and motion assisting robot which comprises two sets of symmetrically-arranged unilateral training platforms, and each unilateral training platform comprises a supporting base, a front-back displacement platform, a left-right displacement platform, a vertical displacement platform, a rotation driving mechanism and a pedal mechanism. The pedal mechanism at least comprises a bottom plate, a pedal plate and a pedal driving mechanism used for driving the pedal plate to independently move relative to the bottom plate. Two groups of symmetrical unilateral training platforms work cooperatively, each platform is integrated with four-degree-of-freedom basic motion units composed of front-back, left-right and vertical displacement platforms and rotary driving mechanisms, and then is combined with a pedal mechanism with independent active driving capability; various daily and complex exercise scenes such as walking on the flat ground, going up and down stairs, trudge on mountains, surfing and the like can be reproduced, a highly-simulated dynamic environment is provided for rehabilitation training, the exercise simulation dimension is wider, and the precision is higher.

The invention relates to the technical field of health monitoring and data processing, and provides a data processing system and method for exercise auxiliary monitoring, space-time alignment of heterogeneous exercise data is realized through a data fusion module, a digital twin representing user exercise health is generated, and the exercise health state of a user can be accurately represented; the risk prediction module constructs a parameter association graph based on a prior knowledge base and historical heterogeneous data, captures a change mode of motion risks through a long-short-term memory network, mines a coupling relationship among heterogeneous motion data through a graph convolutional neural network, and finally fuses two types of information to predict risk probability, so that potential damage risks can be identified more accurately; the monitoring management module determines the generation priority based on the risk probability, the moving target and the historical movement performance, then generates the intervention strategy through reinforcement learning, finally verifies the simulation effect of the intervention strategy through digital twin simulation, assists a user in accurate execution, and greatly improves the practicability and the intelligent level of the intervention strategy.

The invention discloses an intelligent exoskeleton bone auxiliary conduction hearing aid system capable of being remotely controlled and having an electroencephalogram control function, and relates to the technical field of intelligent rehabilitation robots and hearing aid devices. The wearable mechanical part comprises a flexible actuator, an elastic fabric base material, an inertial measurement unit IMU, a plantar pressure sensor array, a surface myoelectricity EMG sensor and an electroencephalogram EEG sensor. And the information processing communication part comprises a central controller, a bone conduction hearing aid module, a multi-mode sensor, an embedded SoC, a DSP / AI accelerator, a 4G / 5G / Wi-Fi module and a power management unit. The flexible exoskeleton walking aid system and the bone conduction hearing aid module are integrated, the electroencephalogram EEG sensor is additionally arranged to achieve the electroencephalogram control function, and cooperation of the three functions of movement assistance, auditory perception and neural intention recognition is achieved. A user can directly control the exoskeleton action mode through electroencephalogram signals, meanwhile, intelligent assistance of lower limb joints is obtained in the walking process, and environment sounds and voice prompts are clearly received in a bone conduction mode. According to the system, the perception ability, the control flexibility and the social participation degree of old people or rehabilitation patients who are inconvenient to move and accompanied with hearing impairment in a complex environment are remarkably improved, and more natural and convenient man-machine interaction experience is provided for users.

The invention discloses an exercise assisting system for limb rehabilitation, and relates to the technical field of intelligent rehabilitation medical instruments, and the exercise assisting system comprises a multi-dimensional sensing module, a central processing module, an auxiliary execution module, a man-machine interaction module and a data tracing module; the multi-dimensional sensing module is used for collecting motion state data and physiological safety data of a patient in real time; and the central processing module is electrically connected with the multi-dimensional sensing module and is used for sensing the motion state data and the physiological safety data according to the motion state data and the physiological safety data. According to the exercise assisting system, comprehensive and synchronous collection of the exercise state and physiological safety data of the patient is achieved by integrating the multi-dimensional sensing module, solid data support is provided for precise rehabilitation, the adopted self-adaptive control algorithm can be closely combined with the current rehabilitation stage of the patient, auxiliary parameters can be dynamically adjusted, and the rehabilitation accuracy of the patient is improved. High personalization and accurate adaptation of the rehabilitation strategy are ensured, and the long-term effect of the rehabilitation scheme is effectively improved.

The invention relates to the technical field of medical robots, and particularly discloses a multi-degree-of-freedom ankle training mechanism and a simulation and movement assisting robot. The multi-degree-of-freedom ankle training mechanism comprises a base, a moving part and a telescopic driving mechanism, the moving part comprises a moving base plate, a pedal plate and a rotary driving mechanism, and the moving base plate is connected with the base through a first universal hinge; the telescopic driving mechanism is arranged on the base, and a telescopic rod of the telescopic driving mechanism is connected with the moving base plate through a second universal hinge. According to the scheme, the telescopic driving mechanism is arranged on the base, and the movement base plate and the pedal plate are driven by a simpler mechanism to rotate at multiple degrees of freedom, so that the size and movement inertia of movement parts are greatly reduced, and the overall structure is more compact and light. The motion response speed and the dynamic performance of the multi-degree-of-freedom ankle training mechanism can be improved, the multi-degree-of-freedom ankle training mechanism can be integrated into a simulation and motion assisting robot platform more easily, and the system integration degree is improved.

The application provides a motion assisting device of an intelligent bed, comprising a frame, a driving assembly, a jacking assembly and a transmission assembly, the frame is suitable for being connected with a bed frame, the driving assembly is connected with the frame, the jacking assembly is connected with the driving assembly, the jacking assembly is configured to generate reciprocating motion under the driving of the driving assembly, the transmission assembly is arranged between the driving assembly and the jacking assembly to transmit the driving force on the driving assembly to the jacking assembly, and the transmission assembly is configured to amplify the driving force. The motion assisting device of the intelligent bed with the structure amplifies the driving force on the jacking assembly transmitted by the driving assembly by arranging the transmission assembly between the driving assembly and the jacking assembly, and compared with directly driving the lifting mechanism by using a crank or a screw rod, the structure reduces the power of the driving assembly under the same bearing force, and guarantees personal safety.

The invention discloses a motion intention recognition method based on multi-modal enhanced comparative learning, and the method achieves the precise motion intention recognition based on any single mode through systematic fusion of multi-modal physiological signals and an innovative comparative learning architecture. Intention perception contrast learning: constructing positive and negative sample pairs enhanced by a multi-modal time sequence and optimizing contrast loss, so that the discrimination capability of the model in dynamic intention transfer is remarkably improved; according to many-for-one cross-modal prediction, multi-modal identification performance under single-modal input is realized through semantic alignment and a knowledge migration mechanism. After pre-training joint optimization, training and reasoning can be completed only through single-modal data, and data dependence is remarkably reduced while the advantage of multi-modal performance is kept. According to the technical scheme, the accuracy and robustness in lower limb movement intention recognition in the brain-computer interaction field are effectively improved, and an innovative technical solution is provided for a movement auxiliary rehabilitation system.

The utility model provides an ankle pump movement auxiliary device, which comprises a bed body (1) and an adjusting device (5), and is characterized in that a rack (2) is arranged at the top of the bed body (1), the rack (2) is in sliding connection with the bed body (1), the adjusting device (5) is arranged on one side of the bed body (1), and the adjusting device (5) locks the position of the rack (2) at the top of the bed body (1). A pull rod (3) is movably arranged on the top of the machine frame (2), a foot sleeve (4) is fixed to one side of the pull rod (3), and the pull rod (3) can drive the foot sleeve (4) to synchronously move front and back along the bed body (1). By arranging the rack capable of sliding relative to the bed body, the rack can be driven to slide relative to the bed body, so that the most suitable operation position can be conveniently provided for patients according to different heights of the patients, the stability of the equipment is improved, the operation difficulty of the equipment is reduced, the equipment is convenient to use, and the usability of the equipment is improved.

The invention discloses a distributed multi-mode flexible patch system for exercise aided training and a preparation method of the distributed multi-mode flexible patch system. The distributed multi-mode flexible patch system comprises six intelligent patches which are used for being attached to the wrist, the elbow, the shoulder, the waist, the leg and the foot respectively. Each patch comprises a PDMS substrate, and liquid metal is injected into a micro-channel etched on the surface of the substrate to form a flexible conductive network; an ultrathin rechargeable lithium battery and a power management circuit are arranged on the micro-channel; the flexible conductive network is respectively connected with the MCU, the strain sensor, the wireless communication module, the touch capacitance switch and the micro vibration motor; and each patch is also provided with a special sensing and executing device aiming at the pasted part, and is used for capturing key motion details and providing feedback. Compared with an existing single-point and single-sensor auxiliary training device, the distributed multi-mode flexible patch system provided by the invention has remarkable technical advantages and application value.

A supporter for a wearable exercise apparatus may include a main body; a pair of main frames connected to the main body; a pair of straps connected to the pair of main frames, respectively; and a bistable spring which is provided inside each of the pair of the straps and maintained in one of two stable states by a restoring force. The two stable states include a first stable state in which the bistable spring has a shape extending straight along the longitudinal direction and a second stable state in which the bistable spring has a shape that is bent once. The shape of the strap may be determined according to the shape of the bistable spring.

The invention relates to the technical field of brain-computer interface and evaluation, in particular to a method and a system for controlling games based on fusion of electroencephalogram and electromyographic signals, which are characterized in that in a rule making process, spasm level determination rules are made by combining the electroencephalogram signals and the electromyographic signals; a first physiological electric signal generated in the rehabilitation game training process is collected to recognize the motion intention of a testee and generate a control instruction so as to guide the testee to complete control over a game experiment normal form, and meanwhile a second physiological electric signal in the process is obtained; and finally, performing spasm grade evaluation on the testee based on a spasm grade division rule and the second physiological electric signal, and adjusting game experiment normal form parameters and motion auxiliary function parameters according to an evaluation result. The problem that a traditional rehabilitation system depends on a single signal source is solved, and the recognition precision of the motion intention is enhanced; and the second physiological electric signal is analyzed, so that the spasm grade of the testee is evaluated.

Methods, devices, systems, and apparatus, including computer programs encoded on a computer storage medium, for brain-controlled body movement assistance devices. In one aspect, a device includes a brain-controlled body movement assistance device with a brain-computer interface (BCI) component adapted to be mounted to a user, a body movement assistance component operably connected to the BCI component and adapted to be worn by the user, and a feedback mechanism provided in connection with at least one of the BCI component and the body movement assistance component, the feedback mechanism being configured to output information relating to a usage session of the brain-controlled body movement assistance device.

The application discloses a sparse uniform linear array millimeter wave radar angle estimation method based on motion assistance and belongs to the field of radar signal processing; specifically, for the scene that a linear frequency modulation continuous wave radar communicates with K targets, the echo signal of the mth antenna of the radar to the kth target is calculated; the echo signals of the mth antenna to all K targets are counted and accumulated; similarly, the echo signals of each antenna to all K targets are obtained and accumulated, which are used for establishing a sparse uniform linear array receiving signal model; for the kth target in the sparse uniform linear array receiving signal model, the angle of the target is estimated based on an FT method, all possible angles of the target are obtained, finally, the angle of the kth target is deambiguated in combination with motion information assistance, and the final estimation result of the angle of the target by the sparse uniform linear array millimeter wave radar is obtained. The application realizes accurate estimation of the angle of a target by a sparse uniform linear array.

The present invention improves issues with the automation of connection work in an assembly process in which the control of a lever operation for a connector comprising a conventional lever mechanism is complex. By creating a configuration with which it is possible to eliminate a lever mechanism, simplify connection and disconnection operations for a connector, and perform connections and disconnections using a general-purpose tool or general-purpose components, it is possible to automate connection and disconnection work using an automation machine or movement assistance device. This configuration makes it possible to improve connection reliability and efficiency of connection work in an assembly process.

We provide the system. [Solution] A device that records sports movements via a user-operable information processing device, A device that transmits recorded sports data to a computing device for analysis, A device that analyzes sports data and extracts features based on the received data, A device that generates advice for improving performance based on extracted features, A device that presents advice received using the device to the user, A device that connects to a motion assist device to exchange data and provide real-time feedback, A system that includes this.

1. Name of the product in this design: Smartwatch (G12). 2. Applications of this design: time display, sports assistance, and body indicator monitoring, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

An electroencephalogram analysis device includes a signal acquisition unit that acquires a time series of electroencephalographic signals of an analysis subject, and a computation unit that obtains an intrinsic frequency correlated with a movement intention of the analysis subject based on a frequency characteristic related to the time series of the electroencephalographic signals of the analysis subject during rest.

The invention discloses a movement assisting chair, and relates to the technical field of sports equipment, the movement assisting chair comprises a base mechanism, a movement mechanism, a seat mechanism and a control mechanism, the control mechanism is connected with the front end of the base mechanism, and the base mechanism is connected with the seat mechanism and the movement mechanism; the movement mechanism comprises a motor and two sets of sliding blocks, the two sets of sliding blocks are arranged at the two ends of the motor respectively, and the motor is connected with the seat mechanism through a cam. The exercise assisting chair is easy to operate and suitable for old people to use; through the arrangement of the movement mechanism, the old people can be assisted to move, the condition of myasthenia is relieved, and through the arrangement of the base mechanism, the device can be used in multiple scenes.

The invention relates to an adjustment assembly for a closure element (2) of a motor vehicle having a movement assistance assembly (3), having a first connecting part (4) and a second connecting part (5) for a pivoting movement along a geometric pivoting axis (6), the adjustment assembly (1) having a tubular adjustment housing (7) with a housing inner tube (9) and a housing outer tube (10) formed by a sleeve (8), the sleeve (8) and the housing outer tube (10) are each associated with one of the two connectors (4, 5), the adjustment housing (7) provides an inner space, the movement assistance assembly (3) is at least partially arranged in the adjustment housing (7), the movement assistance assembly (3) has a rod (11), and the rod (11) extends in a telescopic manner relative to one another when the adjustment assembly (1) is adjusted between a retracted position and an extended position, and the sleeve (8) and the housing outer tube (10) are each associated with one of the two connectors (4, 5). And a rod (11) axially fixed to the housing outer tube (10) and surrounded by the housing outer tube (10), the rod (11) and the housing outer tube (10) being assigned to the same connecting piece (4). According to the invention, at least one inner guide element (12), which is axially and rotationally fixed to the sleeve (8), extends axially from the sleeve (8) in the direction of the first connection (4) associated with the housing outer tube (10), said inner guide element surrounding a part of the axial extent of the rod (11) and in which the rod (11) is guided.

Embodiments of the present disclosure relate to the technical field of biomedical engineering, and provide a movement assistance method, device and apparatus, an electronic device, and a storage medium. The method comprises: acquiring, in real time, target foot features of a subject based on a current activity type, wherein the target foot features comprise: a plurality of target foot actions and moments corresponding to the target foot actions; on the basis of a preset movement relationship feature model, determining a first correspondence describing a target foot action and the current activity type as a target correspondence, and determining a target waiting duration, a target auxiliary muscle group, and a target stimulation duration described in the target correspondence; and determining a stimulation moment on the basis of a moment corresponding to the target foot action and the target waiting duration, and assisting muscle activation of the subject by providing, at the stimulation moment, a stimulation signal of which the duration is the target stimulation duration to the target auxiliary muscle group, thereby achieving movement assistance.

This invention discloses a variable stiffness lower limb exoskeleton robot based on a dielectric elastomer. The exoskeleton robot includes a lumbar support beam, two hip joint modules, two knee joint modules, and two ankle joint modules. A hip joint module is located at each end of the lumbar support beam. The lower ends of the hip joint modules are connected to the knee joint modules via hip joint connectors, and the lower ends of the knee joint modules are connected to the ankle joint modules via calf adjustment plates. This invention utilizes a novel driving principle based on dielectric elastomers, which are lightweight, have high energy density, and fast response speed, thus improving the exoskeleton robot's mobility. Based on the motion mechanism of human lower limb joints, the functions of each joint in the lower limb exoskeleton robot are optimized, enhancing its motion assistance performance. This invention can be well applied to lower limb medical rehabilitation, assisting hemiplegic patients in completing walking training, and has significant practical value.

The application relates to the technical field of health monitoring and data processing, and provides a data processing system and method for motion auxiliary monitoring. The data fusion module is used for realizing spatiotemporal alignment of heterogeneous motion data and generating a digital twin representing user motion health, so that the user motion health state can be accurately represented. The risk prediction module is used for constructing a parameter association graph based on a prior knowledge base and historical heterogeneous data, capturing the change mode of the motion risk through a long short-term memory network, mining the coupling relationship between the heterogeneous motion data through a graph convolutional neural network, and finally fusing the two types of information to predict the risk probability, so that the potential injury risk can be more accurately identified. The monitoring management module is used for determining a priority based on the risk probability, a motion target and historical motion performance, generating an intervention strategy through reinforcement learning, and finally simulating and verifying the simulation effect of the intervention strategy through the digital twin, so that the user can be assisted to accurately execute, and the practicality and intelligent level of the intervention strategy are greatly improved.

Embodiments of the present application provide a kind of motion auxiliary method, device and equipment based on virtual reality equipment, it is related to data processing technical field.The specific implementation scheme is: obtain the first type data and the second type data uploaded by user;The first type data is analyzed, to generate the scene data of target virtual reality scene for constructing the reality scene;Based on the second type data, generate the object data for constructing the target virtual image of the companion object;Control virtual reality equipment to construct target virtual reality scene containing the target virtual image according to the scene data and object data;The target virtual reality scene in the target virtual image is controlled by the virtual reality equipment, and the user is followed by action.The scene that can be immersed by user in the process of motion is familiar with insufficient, it leads to the problem that user safety is relatively low, there is certain influence to the user motion effect.

The invention discloses an integrated human motion and life support system and a control method thereof, and the system comprises a multi-axis mechanical arm which is provided with a plurality of joint freedom degrees, the output end of the multi-axis mechanical arm is connected to a human body wearing module, and the multi-axis mechanical arm is used for providing a human body static posture supporting mode and a dynamic motion assisting mode; the human body wearing module is used for integrating supporting, environment adjustment, health monitoring, excretion treatment and clothes replacement functions; the mounting platform module is used for bearing the multi-axis mechanical arm and adapting to different scenes; and the intelligent control module is in communication connection with the multi-axis mechanical arm, the human body wearing module and the mounting platform module and used for controlling all the modules to work cooperatively to achieve human body movement and life maintenance. The management and protection cost is reduced, the management and protection safety is improved, and the integrated function of movement assistance, rest supporting, health monitoring and intelligent management and protection is achieved.

The utility model discloses an adjustable rehabilitation training device which comprises a base, a folding device is installed on the left side of the base, an inclined support is fixedly installed on the right side of the base, a foot training device is installed on the lower side of the inclined support, and a synchronous driving device is installed on the middle side of the inclined support. The hand training device is installed on the upper side of the inclined support, the tensioning devices are symmetrically installed on the upper side and the lower side of the synchronous driving device, the folding device comprises an L-shaped rotating rod, a horizontal rotating rod, a horizontal support, a vertical rotating rod, a transverse rod, an inclined fixing rod and an adjustable seat assembly, and the L-shaped rotating rod is fixedly installed on the left side of the base. By means of the mode, movement assistance of the hands and the legs can be synchronously carried out, coordinated exercise can be carried out while movement assistance is carried out, the occupied space can be reduced through folding, and vertical height adjustment of the hands and the legs can be independently carried out to adapt to different crowds.

The embodiment of the invention provides an automatic adjustment method, device and system for a virtual scene, and relates to the technical field of data processing, the method is applied to management equipment in a virtual reality system, and the system further comprises virtual reality equipment and motion auxiliary equipment; the method comprises the following steps: in response to a scene display instruction, controlling a virtual reality device to display a virtual scene containing a stimulation source, and controlling a motion auxiliary device to collect walking data of a target object; based on the acquired walking data, monitoring whether the relative distance between the target object and the stimulation source in the current virtual scene is smaller than a preset distance or not; and in response to the fact that the current virtual scene is smaller than the preset first operation flow, controlling the virtual reality equipment to adjust the scene content of the current virtual scene according to the preset first operation flow. Visibly, according to the scheme, the target object can be helped to more quickly adapt to the stimulation source in the virtual scene by automatically adjusting the virtual scene, so that the perception adaptation process of the target object to the stimulation source is accelerated.