222 results about "Motor training" patented technology

The invention discloses a portrait construction method for a disability risk population, and an exercise training recommendation method and system, and the method comprises the following steps: determining portrait mapping key elements according to a pathological mechanism; constructing a core portrait based on the key elements; constructing a basic portrait according to the demographic information, the exercise investigation information and the exercise behavior characteristics; constructing a three-dimensional character portrait based on the core portrait set and the basic portrait set; wherein the key elements comprise cognitive cortex injury, body function injury and emotional control force injury; the attributes of the core portrait comprise cognitive cortex injury, body function injury and emotional control force injury, and the tag data is derived from diagnosis type information of a patient; the exercise survey information includes exercise preferences. According to the method, an exercise training scheme which is low in exercise risk, high in exercise efficiency, high in compliance and capable of dynamically iterating is provided for exercise prevention and repair of people with high disability risks.

The invention belongs to the technical field of data processing, and relates to an intelligent exercise training method based on Internet of Things, which comprises the following steps: firstly, acquiring exercise state information and heart rate state information selected by a user, and transmitting the heart rate state information and the exercise state information to edge computing equipment; secondly, the edge computing device constructs a heart rate prediction model according to the real-time heart rate state information and the motion state information of the user, and meanwhile the edge computing device feeds back heart rate prediction information output by the heart rate prediction model in real time to the user in real time; meanwhile, the edge computing device evaluates the fatigue degree of the user according to the heart rate prediction information and the heart rate state information of the user at the time pointed by the heart rate prediction information; and finally, when the fatigue degree of the user in the motion process is abnormal, the edge computing device outputs a fatigue alarm to the user. By means of the technical scheme, real-time data collection, analysis and feedback in the exercise training process are achieved; meanwhile, the invention further designs a device for improving the training effect and electronic equipment.

The invention discloses an intelligent training method for preventing lower limb thrombus and a related device, and the method comprises the steps: inputting the physiological parameters of a patient, the initial exercise ability evaluation information and the personalized rehabilitation target information into a DQN multi-mode fusion model, and generating an ankle pump exercise training scheme meeting the rehabilitation demands of the patient; monitoring ankle pump motion execution information of the patient in real time through wearable equipment; according to the ankle pump motion training scheme and the ankle pump motion execution information of the patient, a lower limb thrombus training effect evaluation result of the patient is calculated, and the lower limb thrombus training effect evaluation result comprises the blood circulation improvement degree, the joint motion range and the gait characteristics; according to a lower limb thrombus training effect evaluation result of the patient, predicting lower limb thrombus potential recovery disorder and a falling risk level of the patient, and starting a grading alarm program according to the potential recovery disorder and the falling risk level. The training effect is comprehensively evaluated through the multi-modal data fusion training method, and the lower limb thrombus rehabilitation efficiency is improved.

The invention provides a device for rehabilitation of facial paralysis. The device comprises a camera for capturing a facial image of a patient; the image processing unit based on the deep learning model is used for analyzing and processing the facial image of the patient in real time: generating the facial image of the health state based on the calibrated facial key points; migrating the facial expression of the health state to the facial image of the patient; and the display screen is used for displaying the image processed by the image processing unit and executing electron mirror exercise training combined with mirror image therapy and motor imagery therapy. By means of the device, a facial paralysis patient can do normal expression training on the vision and the brain of the patient when the patient feels that the affected side is the same as the healthy side through exercise training facing the electron mirror, and rehabilitation of the facial paralysis patient is facilitated.

The invention discloses a method for researching the repairing effect of low-pressure and low-oxygen exercise on waist polyfidus injury, which comprises the following steps: S1, selecting and grouping experimental animals: selecting healthy adult rats, and randomly dividing the healthy adult rats into a plurality of experimental groups including a conventional exercise group, a low-pressure and low-oxygen exercise group, a low-pressure and low-oxygen treatment group and a control group; s2, setting a low-pressure and low-oxygen exercise environment: simulating a high-altitude environment by using a low-pressure oxygen cabin; the treadmill is used for rat running exercise; and S3, exercise plan implementation: performing exercise training on all the rats in the experimental group on the five-channel running machine. According to the invention, exercise training is carried out in a low-pressure and low-oxygen environment, so that a new physical intervention means is provided for rehabilitation treatment of waist muscle injury; researches show that movement under low-pressure and low-oxygen conditions is beneficial to acceleration of regeneration and repair processes of muscular tissues, which is crucial for rapid recovery of normal functions after acute or chronic waist injury.

The invention discloses a senile sarcopenia risk prediction and grouping multi-motion intervention system and method, and the system comprises a data layer which is used for data collection, storage and task standardization; the service layer is used for processing and analyzing the data acquired by the data layer, performing sarcopenia risk assessment on the elderly patients, and appointing an exercise training scheme according to a risk assessment result and a data analysis result; the application layer comprises personal information management, patient information management, medical care information management and system maintenance management; and the user side is used for personal information management and exercise demand assessment, and preliminarily assessing the exercise demand according to own feelings. Data are collected through a physical condition scale and a tumble risk prediction tool, the model construction module is used for analysis, the sarcopenia risk of the elderly patient can be accurately evaluated, high-risk people can be recognized in the early stage of the disease, a basis is provided for follow-up intervention, an exercise scheme is adjusted according to a data analysis result, the management efficiency is improved, and the management cost is reduced. And high-quality services can be provided for more old people.

The subject innovation is directed to an exercise training device and methods for use thereof, and in particular, an experiential self corrective neuro-muscular training device designed to engage and facilitate the stability and movement in all three anatomical planes in training and exercising primary functional movement patterns for the purpose of improving ones biomechanics and reducing the risk of injury.

The invention discloses a brain small vascular disease lower limb dysfunction self-adaptive electrical stimulation auxiliary rehabilitation system in the technical field of medical instruments, and the system comprises a data collection module which is used for obtaining the multi-modal data of a patient in real time; the decision regulation and control module is used for generating dynamically optimized electrical stimulation parameters and rehabilitation task instructions based on a deep reinforcement learning algorithm and patient individualized pathological characteristics according to the multi-modal data; the electrical stimulation execution module is used for synchronously regulating and stimulating nerve targets according to the optimized electrical stimulation parameters; and the interactive virtual reality module is used for combining immersive gait training and cognitive training. By detecting the multi-modal physiological data of the patient, combining the deep reinforcement learning model to dynamically optimize the electrical stimulation parameters, and coupling VR exercise training and cognitive training, the three-in-one collaborative rehabilitation mode of electrical stimulation-physical treatment-cognitive intervention is realized, the rehabilitation training efficiency is improved, the relapse risk of the patient is reduced, and the rehabilitation training experience of the patient is enhanced.

The invention belongs to the technical field of sensor measurement and recognition, and particularly relates to a human body motion recognition system based on LSTM (Long Short Term Memory), which comprises a data acquisition module, a data calculation module and a data application module, and utilizes a neural network model and a wearable electronic sensor to detect a human body walking state. A new long short term memory (LSTM) recurrent neural network model, namely an LSTM-STRM model, is established, the model combines multi-task learning, an attention mechanism and spatio-temporal feature fusion to accurately classify the walking state of the human body, and the walking state is compared with the original LSTM model. The result shows that the LSTM-STRM model can be used for classifying the time sequence data collected by the measuring unit, the states of the five targets can be classified with high precision, and the recognition accuracy is higher than that of an original LSTM model. The method improves the recognition precision, is high in adaptability, is suitable for the fields of medical treatment, human-computer interaction, exercise training and the like, and has a wide application prospect.

The invention provides an exercise training method, system and device based on virtual reality and a medium. The method comprises the following steps: acquiring multiple groups of action execution parameters of a target user in a virtual environment; further acquiring action completion degrees during action training, determining association features between each group of action execution parameters and the corresponding action completion degrees, and outputting migration coefficients by combining the association features with a deep learning algorithm; when the migration coefficient is smaller than a preset migration threshold value, generating an enhanced training scene; collecting electroencephalogram data of a target user in the intensified training scene, and determining an attention fluctuation value of the target user according to the electroencephalogram data; and dynamically configuring interference factors of the intensified training scene based on the attention fluctuation value, and after configuration is completed, generating a migration effect evaluation report of the target user after each round of intensified training is finished in real time. By adopting the scheme of the invention, a dynamic association mechanism of virtual and real skills can be established to avoid migration faults in a virtual scene.

The embodiment of the invention provides a motion analysis method and device, electronic equipment and a storage medium, and belongs to the technical field of machine learning. The method comprises the following steps: acquiring current motion data and historical motion data; training a preset recurrent neural network according to the historical exercise data and the corresponding historical exercise scores, and constructing a target score prediction model; inputting the current motion data into the target score prediction model to obtain a predicted score result; constructing a problem instruction based on the predicted score result, the current exercise data, the historical exercise data and the historical exercise score; and inputting the question instruction into a preset large language model, and outputting an exercise training suggestion report. The exercise data can be comprehensively analyzed based on the target score prediction model and the preset large language model, the exercise training suggestion report is quickly and accurately generated, and the problems that an existing exercise analysis method depends on manual subjective judgment and is low in efficiency and score prediction accuracy are solved.

The invention discloses a triceps brachii stretching exercise training device, and belongs to the technical field of sports equipment, the triceps brachii stretching exercise training device comprises a bottom cylinder, two sliding grooves formed in the upper surface of the bottom cylinder and a holding rod slidably connected with the inner walls of the two sliding grooves, and two reciprocating threads are formed in the outer surface of a straight rod rotationally connected with the inner wall of the bottom cylinder. According to the device, through body fluctuation, a pull rope drives a first piston plate to move up and down in a first square cylinder under the action of body fluctuation of a trainer, so that a nut drives two holding rods to get close to each other and then get away from each other, the distance between the two hands of the trainer is automatically adjusted in the training process, and the training difficulty of the device on triceps brachii muscles is increased; the protruding block is discontinuously in contact with the piston rod, so that the piston rod moves up and down on the inner wall of the piston cylinder, water in the water tank flows into the air bag, the mass of the air bag on the back of the trainee is continuously increased, then the weight training effect on the trainee is achieved, and the effect of the device on the triceps brachii muscle of the trainee is further improved.

The invention discloses an anti-resistance exercise training system for old people based on intelligent wearable equipment, and relates to the technical field. The problems that in the prior art, a dynamic action monitoring error correction mechanism is lacked, exercise intensity adjustment is not personalized and real-time, interaction and data feedback functions do not exist, and equipment portability and wearing adaptability are insufficient are solved. The system collects data in real time through the whole body position intelligent wearable device, corrects non-standard actions through the action recognition feedback module, dynamically regulates the intensity through the exercise intensity evaluation module, reduces the risks of muscle strain, cardiovascular burden and the like, takes standardized action guidance, personalized intensity adaptation and data visualization as the core, ensures target muscle activation, and improves the training efficiency. The training effect is quantified, the operation is simple, the use threshold is reduced through voice guidance, the boring feeling is relieved through personalized plans and summary reports, the training achievement feeling and compliance of the old people are enhanced, the muscle strength can be improved through whole body position training, and the anti-resistance exercise requirement of the old people is met.

The invention discloses an MCI intervention system based on virtual reality cognitive motion training difficulty dynamic adjustment. The MCI intervention system comprises an upper limb motion task prototype module, an upper limb motion task dynamic difficulty adjustment module, a virtual cognitive task prototype module and a virtual cognitive task dynamic difficulty adjustment module. A dynamic difficulty adjustment algorithm based on Pareto frontier is introduced in the system, modeling is carried out on the relation between task intensity and participant performance, possible combinations of various task difficulties and corresponding tradeoffs are evaluated from the relation, and therefore dynamic optimization adjustment of the task difficulties is achieved. Finally, through random contrast research carried out in cooperative hospitals, the obvious effect of the system in the aspect of improving the cognitive ability and the upper limb movement function is verified. The invention provides an innovative system which combines cognition and exercise training and performs personalized intervention through a dynamic difficulty adjustment mechanism, and an effective path is provided for health management and cognitive function improvement of old people.

A resistance bar for exercise training includes an elongate body defining a central longitudinal axis extending between first and second ends of the resistance bar, a first handle and a second handle disposed along the elongate body and spaced inward from the distal end regions, each handle being forwardly offset relative to the longitudinal axis, and a first weight compartment disposed between the first and second handles and configured to receive one or more removable weights for selectively adjusting a weight of the resistance bar.

The invention discloses a brain-computer interaction system for cognitive-motion dual-task collaborative rehabilitation training. The brain-computer interaction system comprises a cognitive training interaction unit, an electroencephalogram signal acquisition unit, an electroencephalogram signal decoding unit and a motion training unit, according to the system provided by the invention, cognition-movement collaborative rehabilitation training is realized, compared with a single rehabilitation training mode, the rehabilitation efficiency is improved, a brain-computer interface technology is introduced, the attention and the movement intention of a subject are identified in real time, active movement rehabilitation is realized, the active participation degree of the subject in the rehabilitation training process is enhanced, a closed-loop system is established, and the rehabilitation training efficiency is improved. Mutual promotion of cognitive-motor function rehabilitation is enhanced, and induction of nerve recombination and reconstruction is enhanced.

The invention discloses a temporomandibular joint examination and auxiliary mouth opening exercise training treatment device which comprises a base, universal wheels are arranged on the outer surface of the lower end of the base, a shell is fixedly connected to the outer surface of the upper end of the base, a control panel is arranged on the outer surface of one side of the shell, a cloud processor is arranged above the control panel, and the cloud processor is connected with the base. An automatic lifting height-adjustable supporting device used for improving the convenience of height adjustment is arranged in the shell, and a replaceable oral cavity automatic opening auxiliary device used for improving the convenience of use is arranged on the outer surface of the front end of the automatic lifting height-adjustable supporting device. According to the temporomandibular joint examination and auxiliary mouth opening exercise training treatment device, by arranging an automatic blowing auxiliary drying device, the structure is simple, the automation degree is high, the oral cavity of a patient can be automatically opened, or the oral cavity can be controlled to be circularly opened and closed for rehabilitation training, the opening size can be adjusted and controlled, the operation difficulty is reduced, and the treatment effect is good. And the overall use convenience is improved.

The invention relates to the field of exercise training, in particular to a motor imagery rehabilitation training method and system based on electrical stimulation tactile induction. The method comprises the following steps: performing electrical stimulation on a user, and recording facial electromyographic signals, electroencephalogram signals and near-infrared cerebral blood activity signals during motor imagery based on corresponding actions of electrically stimulated parts imagined by the electrical stimulation user. According to the method, the electromyographic signals, the electroencephalogram signals and the near-infrared cerebral blood activity signals are synchronously processed, the electroencephalogram signals and the near-infrared cerebral blood activity signals are analyzed, the motion of motor imagery is recognized, and visual display is carried out, so that the motion signals of the motor imagery and the brain activity can be directly observed. According to the invention, electrical stimulation is carried out on the user, and motor imagery is carried out under the induction of the electrical stimulation tactile sense, so that the motor sense area of the brain of the user is activated, the remodeling of the damaged brain area of the user is accelerated, the user is helped to recover the motor sense function, and the problem of lack of effective activation of the motor sense pathway is solved.

The invention relates to a closed-loop control method suitable for personalized lower limb exercise training, belongs to the technical field of exercise rehabilitation, and designs a closed-loop control method for dynamically adjusting lower limb training load according to muscle activation degree by combining surface myoelectricity characteristics with a personalized training model and a closed-loop control algorithm. According to the method, the resistance load can be adjusted in real time according to the muscle state, and finally the muscle activation level in the training process is maintained in an expected range. In the pre-training stage, sEMG data are collected to establish a personalized mapping model, and response characteristics of individual muscles are quantified; in the formal training stage, the muscle state is monitored in real time, the reference load is predicted through the model, and a closed-loop control algorithm is adopted to generate dynamic adjustment amount to adjust resistance output in real time. The invention further provides a closed-loop control system suitable for personalized lower limb exercise training.

The invention relates to the technical field of motion sensing and intelligent analysis, in particular to a display system based on motion sensing and digital twinborn ecology fusion. Comprising a server, a dynamic analysis module and an intelligent display module, the exercise physiological deviation value is obtained by performing deviation analysis on the exercise data and the physiological data of each user, and then real-time trend analysis is performed on the exercise physiological deviation value, so that the exercise health state of the user can be accurately evaluated, and the future exercise physiological state can be predicted and managed; by displaying the overlapping value between the exercise posture of the user and the standard posture in real time, the user can be helped to clearly understand whether the exercise posture of the user is correct or not, posture adjustment suggestions are provided in time, and exercise injuries are reduced; in combination with simulation of the virtual scene, the user can experience the virtual scene matched with the actual exercise posture of the user, the effectiveness of exercise training and the input feeling of the user are enhanced, and the practicability and individuation of exercise guidance are improved.

The utility model relates to the technical field of exercise training devices, and discloses a double-upper-limb coordination exercise training device which comprises a box body, two rotating rods, an auxiliary motor, a main gear, two auxiliary gears and two shaft rods, rotating disc mechanisms are rotationally arranged on the two sides of the upper end face of the box body, a shell is fixedly arranged on the upper side of the rear end face of the box body, and the rotating disc mechanisms are arranged on the rotating disc mechanisms. Supporting rods are fixedly arranged on the two sides of the middle of the inner top face of the box body correspondingly, and clamping pieces are hinged to the lower sides of the front end faces and the lower sides of the rear end faces of the two supporting rods correspondingly. According to the upper limb training device, an auxiliary motor in the box body is started to drive an auxiliary gear to rotate through a main gear, the rotating auxiliary gear can drive a rotating disc mechanism to rotate slowly through a shaft rod, the rotating disc mechanism pulls the upper limbs of the old to conduct training, and auxiliary training can be conducted on the old with the upper limbs free of strength; the clamping pieces are clamped on the outer end face of the shaft rod to increase friction force of the shaft rod, and therefore training difficulty can be adjusted conveniently.

The invention provides a method for promoting physical and mental development of children by integrating multi-motion and cognitive skill training, and relates to the field of children education and research. The method for promoting the physical and psychological development of the children by integrating multi-motion and cognitive skill training is realized through a man-machine interaction training system, and the man-machine interaction training system achieves the training effect of promoting the physical and psychological development of the children through Internet of Things equipment and training equipment. The man-machine interaction training system comprises an exercise training module, a cognitive training module and an interaction training management module. The exercise training module and the cognitive training module are arranged in interactive training, so that brain and peripheral feelings which serve as a common center of sensory integration and psychological and mental activities are trained through a man-machine interaction method to generate benign coordination interaction, and balanced development of the body and the psychology is achieved. The brain, the vision and the small muscle group are trained through fine movement to develop fine movement skills in a coordinated mode.

The utility model relates to the technical field of medical instruments, in particular to an ankle pump exercise training device which comprises a pedal plate, adjusting shafts are movably installed at the left end and the right end of the pedal plate in a penetrating mode, a connecting assembly is jointly movably installed between the two adjusting shafts in a penetrating mode, and an elastic assembly is movably connected to the front end of the connecting assembly. And the lower end of the elastic component is fixedly connected with the lower inner wall surface of the pedal plate. According to the ankle pump exercise training device, the angle between the connecting assembly and the pedal can be adjusted through the arranged adjusting shaft, the ankle pump exercise training device adapts to leg lengths and exercise requirements of different users, it is guaranteed that the optimal training effect can be achieved when the users conduct ankle pump exercise, and meanwhile the ankle pump exercise training device is convenient to use. A force adjusting knob in the elastic assembly can adjust the elastic force of the elastic belt according to the rehabilitation process and the physical condition of the user, the training intensity is gradually increased, and the muscle strength and the joint flexibility are improved.

The invention discloses an intelligent control auxiliary finger device for fine finger exercise training, and relates to the technical field of hand exercise training, the intelligent control auxiliary finger device comprises a base and a wrist frame fixedly arranged on the base, and an auxiliary assembly for multi-mode cooperative composite training is arranged in the wrist frame; a supporting frame used for supporting the wrist of a user is arranged at the movable end of the auxiliary assembly, a frame plate is arranged on the supporting frame, a training assembly is arranged in the frame plate, the movable end of the training assembly is provided with four first fingerstalls and a second fingerstall which are used for being arranged on the four fingers and the thumb in a sleeving mode, and a sponge ball used for hot compress of the palm of the patient is arranged on the frame plate. At least one pressing plate which is pushed by a user to trigger the training assembly is arranged in the auxiliary assembly, three training modes are integrated, three-dimensional space composite training of wrist rotation, palm pitching and finger grabbing is combined, the training is directly benchmarked with complex actions in daily life, and the functional value of rehabilitation is improved.

The invention belongs to the technical field of bioelectricity signal acquisition, and discloses a wearable system and method for surface electromyogram signal acquisition and a production method. The wearable system for surface electromyographic signal acquisition comprises a shoe, an electromyographic signal acquisition system is installed on the shoe, the electromyographic signal acquisition system is connected with an elastic metal sock, and the elastic metal sock is located at the top of the shoe; the external electromagnetic interference influence can be greatly reduced, the stability and sampling quality of the electromyographic signals are improved, data can be automatically collected through the electromyographic signal collecting system, the operation process is simple and clear, the wearing experience is good, the normal dressing, movement, training or competition state of a wearer is not influenced, and the working efficiency is improved. And the sampling precision and the system stability are not influenced by the outside, so that a large-amplitude action scene can be met, and convenience is provided for daily training, clinical rehabilitation or large-scale human body signal monitoring.

The invention discloses an intelligent ankle pump exercise training instrument and a multi-mode linkage control system, the intelligent ankle pump exercise training instrument comprises a foot supporting plate, a sole air bag structure is arranged on the surface of one side of the foot supporting plate, a detachable foot back fixing part is further arranged on the surface of one side of the foot supporting plate, and a foot back air bag is arranged in the foot back fixing part; the sole air bag structure is composed of a forefoot area air bag, an arch area air bag and a heel area air bag. The front foot area air bag, the arch area air bag, the heel area air bag and the instep air bag are further provided with pressure sensors, and the pressure sensors are connected with the main control module; according to the method, a real-time feedback mechanism of electromyographic signal-inflation pressure is established, muscle point features, pressure features and inertia features are fused, spasm is accurately recognized through a pressure gradient control algorithm, meanwhile, alternate inflation control over foot dorsum / sole anatomical partitions is achieved, and foot pressure sores of a patient can be completely eradicated.

The utility model discloses an ankle pump exercise trainer with a counting function, and relates to the field of ankle pump exercise training equipment. The training device comprises the first bottom support and the second bottom support, the top of the first bottom support and the top of the second bottom support are provided with the device body, the control mechanism is arranged, and when the training device is not used, the control panel is contained in the containing groove, so that the overall attractiveness of the training device is kept, meanwhile, the control panel is effectively protected against damage, and the service life of the training device is prolonged. When the old man needs to use the control panel, the old man only needs to press a corresponding key on the control button, the motor can start and drive the winding roller to send out the circuit line, then the circuit line ejects the control panel out of the containing groove, the old man can conveniently hold the control panel by hand to operate, frequent stooping is avoided, and after using is finished, the old man can conveniently use the control panel. The old people can press the control button again, at the moment, the motor rotates reversely, and the winding roller is promoted to start to wind the circuit line.

This invention discloses a method and system for recommending exercise training based on multimodal data fusion. The method includes the following steps: obtaining the disease type and clinical characteristics of elderly disabled patients, fusing and constructing a role profile to obtain static features; generating and pushing the first exercise training plan based on the role profile; collecting structured data, text data, and image data during exercise training; inputting the data into a collaborative filtering model, combined with the role profile, to generate and push the next exercise training plan. Using this invention, individualized and targeted exercise training plans can be developed, significantly improving the cognitive, emotional, motor, and verbal abilities of elderly disabled patients.

The utility model provides an ankle pump exercise training device which comprises a base, a supporting pedal, a flexion and extension assembly, a swing assembly and a rotary connecting piece, a leg placing area is arranged at the top of the base, a first fixing piece is arranged on the base, and a second fixing piece is arranged on the supporting pedal; the fixed end of the swing assembly is fixed to the base, the swing output end of the swing assembly is fixedly connected with the rotary connecting piece, and the swing assembly drives the rotary connecting piece to rotate relative to the base. The rotary connecting piece is rotationally connected with the flexion and extension assembly, a flexion and extension output shaft of the flexion and extension assembly is fixedly connected with the supporting pedal, the flexion and extension output shaft of the flexion and extension assembly is rotationally connected with the rotary connecting piece, the fixed end of the flexion and extension assembly is fixedly connected with the rotary connecting piece, and the flexion and extension assembly drives the supporting pedal to rotate relative to the rotary connecting piece. The training mode of the ankle pump movement training device is more comprehensive and effective, and the technical effects of standardizing ankle pump movement of a patient and effectively preventing venous thrombosis can be achieved.

1. The name of this design product: electromagnetic chair. 2. Purpose of this product design: This product design is used to assist in passive muscle movement training. 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: three-dimensional picture.