26 results about "Response ability" patented technology

The invention relates to the technical field of man-machine cooperation, and aims to solve the problems that the traditional man-machine cooperation process mainly depends on a preset flow and timing rhythm control, and is difficult to dynamically capture personnel misoperation, machine response delay or cooperation rhythm imbalance, so that response strategy lagging and low regulation and control efficiency are caused in the face of complex and variable man-machine interaction situations. According to the enterprise intelligent man-machine cooperation method and system, through comprehensive analysis with behavior response offset, cooperation rhythm consistency and a personnel fatigue state as core indexes, a set of intelligent man-machine cooperation process which is distinct in hierarchy, logic closed-loop and sustainable iterative optimization is constructed; the real-time response capability of man-machine cooperation and the production takt time stability are improved, the cooperation efficiency fluctuation can be dynamically monitored, the precise regulation and control strategy is output in time, quantitative evaluation and actual improvement of man-machine cooperation efficiency are achieved, and efficient production of a production line and the quality level of products are guaranteed.

The invention relates to the technical field of simulation training, in particular to an adversarial design training method, which comprises the following steps: monitoring a training state to obtain time series data, inputting the time series data into a hidden Markov generation behavior sequence, detecting a coordinate deviation angle deviation consumption ratio to identify a weak link, and calling an identification table matching factor library to generate an interference scheme. And according to a coefficient threshold value, controlling activation opportunity particle swarm optimization to generate a dynamic sequence, and according to a frequency coefficient injection adjustment rhythm, monitoring a response delay switching parameter group to generate an evaluation result. A weak point identification link is calculated in combination with coordinate offset track angle difference and resource consumption rate, hierarchical selection is realized according to risk distinguishing parameter combination in an interference link, and dynamic adjustment is performed according to period matching and combination with an optimization algorithm in triggering, so that disturbance intensity triggering rhythm adaptability is continuously optimized, and pressure bearing performance and flexible response capability are improved.

The invention discloses a self-adaptive task scheduling method and device, equipment, a medium and a computer program product, and the method comprises the steps: in response to a task arrival instruction, calculating the initial task flow velocity of each priority according to the priority of a task and a damping coefficient corresponding to the priority; wherein the damping coefficient is used for controlling the task flow rate; executing tasks of each priority based on the initial task flow rate, and generating task execution data; determining the number of unprocessed tasks of each priority according to the task execution data; and in response to the fact that the number of the unprocessed tasks of any priority exceeds a preset damping breakdown threshold, adjusting the task flow rate of each priority. The concept of damping breakdown is introduced, and the task flow rate of each priority can be automatically adjusted under the condition that the system faces high load or resource shortage, so that the stability and response capability of the system are maintained; and meanwhile, the complexity of scheduling decision is reduced, and the implementation difficulty is reduced.

The invention relates to the technical field of automobile driver data monitoring, and provides a test method and system based on the response capability of a driver to identify an intelligent driving cabin icon, and the method comprises the steps: collecting the feature attributes of the intelligent driving cabin icon of a tested vehicle, and combining a plurality of intelligent driving cabin icons into a target template according to each display position and change time; a road side test is carried out, a target image of the display area of the intelligent driving cabin icon is collected in real time through a first visual sensor, whether the target image is matched with the intelligent driving cabin icon in the target template or not is judged, and if yes, the response capacity of a driver to the intelligent driving cabin icon is collected; otherwise, continuing to collect the target image. According to the invention, the reaction capability of the driver to the intelligent driving cabin icon can be accurately and rapidly obtained under the road test condition.

The application relates to the technical field of machine-assisted screening, and discloses an automatic screening method, system, terminal and medium for the response ability of an autistic child based on relative semantic action segmentation, the automatic screening method for the response ability of the autistic child based on the relative semantic action segmentation comprising the following steps: acquiring video information of a doctor and a child interaction process; extracting a skeleton action sequence of the doctor from the video information; segmenting the skeleton action sequence to obtain a time window in which the doctor issues an instruction; obtaining behavior mode information of the child according to the time window; and evaluating the response ability of the child to non-verbal instructions according to the behavior mode information to obtain screening evaluation information. The application can realize automatic and objective screening of the response ability of an autistic child to non-verbal instructions, realize the automation and integration of the screening process, reduce the labor input, improve the screening efficiency, and improve the accuracy and breadth of the screening.

The application discloses a kind of energy storage participates in demand response method, device and medium. By obtaining the power consumption change value of user participation demand response and the peak clipping response load and valley filling response load corresponding to the user;According to the power consumption change value, the peak clipping response load and the valley filling response load determine the response mode of the energy storage participation demand response;Wherein, the response mode includes recovery state of charge, according to maximum discharge power and recovery state of charge demand participates in peak clipping response, according to maximum charging power and recovery state of charge demand participates in valley filling response, according to maximum discharge power participates in peak clipping response and according to maximum charging power participates in peak clipping response.The technical scheme of the embodiment of the present application can determine different response modes of energy storage participation demand according to the power consumption change value of user, peak clipping response load and valley filling response load, improve response flexibility and response ability.

Portable defibrillator (31; 41; 51; 61; 71) comprising: at least one treatment electrode (5); at least one sensor (4); at least one controller (2) connected to the at least one treatment electrode (5) and the at least one sensor (4); at least one response mechanism (6) wirelessly connected to the at least one controller (2), and wherein the at least one response mechanism (6) is activated by a patient (1) who uses the portable defibrillator (31; 41; 51; 61;71) is operable, characterized in that the at least one control (2) is configured: - in response to the detection of a patient condition requiring treatment via the at least one sensor (4), to provide a prompt issued by the portable defibrillator to the patient to elicit a response; - in response to the detection that the at least one response mechanism has not been activated, to provide treatment to the patient via the at least one treatment electrode; - in response to the detection that the patient has activated the at least one response mechanism, to prevent treatment of the patient via the at least one treatment electrode; and - to verify that it is the patient (1) who is wearing the portable defibrillator (31; 41; 51; 61;71) was, who activated the at least one response mechanism (6) by the at least one control (2) being designed to receive an input signal from the patient's body during activation of the at least one response mechanism, and to confirm, at least partially on the basis of the received input signal, that the patient (1), who is wearing the portable defibrillator (31; 41; 51; 61; 71), has activated the at least one response mechanism (6).

The present application relates to the technical field of simulation training, in particular to a kind of countermeasure design training method, comprising the following steps: monitoring training state obtains time series data input hidden Markov generates behavior sequence, detects coordinate offset angle deviation consumption ratio identifies weak link, calls identification table and matches factor library to generate interference scheme, according to coefficient threshold control activation timing particle swarm optimization generates dynamic sequence, according to frequency coefficient injection adjustment rhythm monitors response delay switching parameter group generates evaluation result, in the present application, behavior sequence dynamic tracking task performance is generated by collecting training state, weak link is calculated and identified in combination with coordinate offset trajectory angle difference and resource consumption rate, hierarchical selection is realized in interference link according to risk parameter combination, in triggering, periodically match and combine optimization algorithm dynamic adjustment, so that disturbance intensity trigger rhythm adaptive continuous optimization, improve pressure performance and flexible response ability.

The invention discloses a response capability detection method and system based on online action detection, a terminal and a storage medium, and the method comprises the steps: obtaining an action video training set, and carrying out the model training according to the action video training set, and obtaining an online action detection model; obtaining action video stream data of a target user, inputting the action video stream data into the online action detection model, outputting a target action category, and calculating an occurrence proportion of each action of the target action category in a preset time period to obtain a calculation result; and screening out an action occurrence proportion corresponding to the target action of the target user, and if the occurrence proportion is greater than or equal to a preset proportion, determining that the target user responds successfully. According to the method, real-time identification is carried out through an online action detection algorithm, meanwhile, modal data are fused, the robustness and accuracy of action identification are enhanced, misjudgment or delay possibly caused by a single modal is reduced, and the stability and reliability of the whole detection process are improved through a sliding window mechanism of a time dimension.

The invention specifically relates to an intelligent medical hospital guide customer service method and system fusing data acquisition and Agent technology, and relates to the technical field of artificial intelligence and medical information services, and the method comprises the steps: carrying out the noise reduction of voice input, extracting acoustic features, converting the acoustic features into characters, carrying out the error correction of a character request through a pre-training language model, and carrying out the recognition of the voice input; meanwhile, the reaction degree, the energy degree and the pause degree of the voice are calculated to obtain an emotion evaluation coefficient. According to the method, multiple rounds of dialogue management and context modeling enable the system to understand complex user intention changes and keep dialogue continuity, the problem of understanding fault caused by the fact that a traditional hospital guide system is only based on single round of questions and answers is avoided, and the intelligent response ability and interaction experience of overall hospital guide are greatly improved; input information is optimized through the intention recognition Agent and the cue word engineering module, the system can more accurately extract key medical entities and potential intentions in user consultation, and the conditions of misrecognition and missed recognition are reduced.

1. Name of the product in this design: Reaction Training Ball. 2. Purpose of this design: A training ball for sports activities to improve brain reaction ability. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to the technical field of rehabilitation training, and discloses a two-hand coordination exerciser which comprises a base, the left side and the right side of the upper portion of the base are each rotationally connected with a first rotating shaft, the two first rotating shafts are each fixedly connected with a first pulley, and the upper ends of the first rotating shafts are fixedly connected with a hand-cranking disc. An upper cover is fixedly connected to the upper side of the base, a moving assembly is arranged in the center of the top of the base and comprises four fixing frames, and the bottoms of the four fixing frames are fixedly connected to the base and distributed in a square shape. According to the utility model, a user respectively controls the up-down and left-right movement of the sliding magnet through the hand-cranking disc, so that the sliding magnet moves along a light path. A plurality of light appearing modes include single lighting or simultaneous lighting of patterns formed by a plurality of lamps, so that the coordination of both hands of the user can be trained, and the response ability and continuous attention of the user can be trained.

The present application relates to the technical field of remote management, in particular to a medical SPD intelligent cabinet remote management method and system, comprising the following steps: based on intelligent cabinet operation data, screening abnormal points, extracting deviation amplitude, searching inventory trend, screening boundary point set, judging flow trend, positioning dispatch axis sequence, marking key monitoring position, collecting response time delay, judging interference matching, and generating automatic material dispatch response unit. In the present application, by joint comparison of switching frequency, temperature and humidity fluctuation and inventory change rate, state abnormal points and inventory boundary characteristics are extracted, the material flow center is accurately identified, the flow inflection point is actively identified and predicted, and by means of the linkage judgment of response time delay and operation displacement, the path interference is dynamically identified and the response path is automatically bound, the dynamic perception, path adaptation and remote response efficiency in the dispatch process are improved, the determination accuracy and intelligent response ability of the intelligent cabinet to the abnormality are enhanced, and the effectiveness of the material monitoring and remote management is improved.

The application discloses a reaction ability evaluation method, a head-mounted device and a computer readable storage medium, relates to the technical field of head-mounted devices, and the method is applied to the head-mounted device, and comprises the following steps: outputting prompt information corresponding to at least one reaction test action through a prompt output module, and determining a prompt output time; detecting a bioelectric signal change caused by a wearer performing the reaction test action in a target body surface area through a bioelectric signal detection module, and determining a signal change time; determining an action completion time through a reaction test action detection module; evaluating the cognitive reaction ability of the wearer based on the prompt output time and the signal change time, and obtaining a cognitive reaction ability evaluation result of the wearer; and evaluating the execution reaction ability of the wearer based on the signal change time and the action completion time, and obtaining an execution reaction ability evaluation result of the wearer. The application can realize fine and layered evaluation of the reaction ability.

The invention relates to the technical field of intelligent terminals, in particular to an active linkage intervention method and system for extreme dangerous equipment and a medium, and the method comprises the steps: collecting a first type of data of the state of a user and a second type of data of the state of an environment where the user is located; according to the first type of data and the second type of data, carrying out primary prediction to obtain a risk level and a response capability index of the user; joint judgment is carried out based on the primarily predicted risk level and the response capability index, and if a judgment result meets an active intervention condition, active intervention is executed through the intelligent terminal; after intervention, the first type of data and the second type of data are collected again, and updated risk levels and response capability indexes are obtained through prediction; and if the updated risk level is not less than a first preset risk threshold value or the updated reaction capability index is not greater than a first preset capability threshold value, triggering an alarm through the intelligent terminal. According to the method, the reliability, the timeliness and the depth of safety guarantee in an extremely dangerous operation environment are remarkably improved.

The utility model relates to the technical field of writing tools, in particular to a notebook for practicing reaction ability. The notebook for practicing the reaction ability solves the technical problems that in the prior art, a notebook is single in function, and the reaction ability of students cannot be exercised. A notebook for practicing reaction ability comprises a writing book. The sliding ball and the blocking columns are arranged, the channels are formed between the blocking columns, the sliding ball moves along the channels under the action of gravity, the blocking columns are distributed between the first end and the second end, the sliding path of the sliding ball is not determined, and the sliding ball can move to the first end from the second end through any channel; that is, when the sliding ball enters the first end from the second end, the position of the sliding ball is not determined, and the user slides the receiver to enable the sliding ball to be in contact with the receiver. Due to the fact that the position of the sliding ball entering the first end is uncertain, a user needs to move the receiver to a correct position in a short time when operating the receiver, and the reaction capacity of students can be exercised.

The application discloses a collimating driving joint and a transmission transparency design method thereof, and belongs to the field of robot joint design. The method comprises the following steps: based on a transmission transparency evaluation system comprising quick response ability and torque sensing ability, key parameters of a reducer and a motor which need to be cooperatively optimized are determined; and in order to simultaneously improve the two abilities, the key parameters are subjected to correlation matching and synchronous optimization design. The application firstly establishes a systematic transmission transparency design method, and through parameter cooperative optimization, the interactive safety and response performance of the joint are significantly improved.

The invention provides a training method and device for a squatting action control model of a two-point-foot robot, and relates to the technical field of robots. The method comprises the steps that in the training process of a squat action control model, an instruction vector containing a squat instruction is configured for the two-point foot robot; the squat instruction is a scalar value obtained by random sampling in a preset range; reading a current value of the squat instruction in each training period, and identifying the current training instance as a squat instance in response to the condition that the current value meets a threshold value condition; and for the squat instance, setting the corresponding gait parameter as a zero value, and configuring a reward function, so that a forward reward is obtained when the knee joint of the robot is in contact with the ground and the forward reward is obtained when the height of the robot body is lower than a preset threshold value. According to the method and the device, the squatting instruction dimension is introduced in the training stage, so that the control model can distinguish the normal walking behavior and the squatting behavior based on the instruction state, and the response capability of switching the squatting action in any posture is achieved.

The invention discloses a question recommendation method and system based on user learning portrait analysis, and belongs to the technical field of intelligent education, and the method comprises the steps: obtaining an initial learning portrait feature vector of a target user in a learning period; constructing a user portrait evolution matrix group, and quantifying a grasp degree change abnormal index, an interest offset degree and a time distribution deviation value; constructing a stage user portrait evolution function model based on the initial portrait and the evolution matrix, wherein the model is used for simulating a dynamic migration process of a learning state; recognizing a knowledge vacancy interval and a potential concept confusion section according to the predicted user portrait state, and generating a target learning task vector; and finally, performing screening and matching in the question bank according to the learning task vector, and outputting a personalized recommendation question set. According to the method, dynamic modeling and accurate recommendation of the user learning state can be realized, and the learning efficiency and the response capability of a recommendation system are improved.

1. Name of the designed product: training frame (reaction force timer). 2. Use of the designed product: training frame for exercising physical reaction ability. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application discloses a driving authorization control method, device, equipment and medium, comprising: generating a gesture instruction when it is monitored that a user has a driving intention for a target vehicle, the gesture instruction comprising a target gesture that needs to be performed by the user; collecting a target image set of the user; determining at least one of an actual duration for which the user responds to the gesture instruction, an actual tremor frequency of a hand of the user, and a similarity degree between an actual gesture of the user and the target gesture according to the target image set; and determining whether to authorize the user to drive according to at least one of the actual duration, the actual tremor frequency, and the similarity degree. The application can test at least one of a reaction ability, a hand stability, and an attention of the user, determine whether the user has a possibility of drunk driving, and authorize the user to drive only when it is determined that the user does not have the possibility of drunk driving, so that the probability of drunk driving is reduced, and driving safety is improved.

The invention discloses an active listening emotion support reply generation method and system oriented to implicit demand perception, relates to the technical field of natural language processing, and aims to solve the problem that an existing method usually only pays attention to identification and pacification of dominant emotions of a user and lacks in-depth understanding and active response ability to implicit demands. In order to solve the problem of difficulty in obtaining accurate emotion support reply due to the fact that the emotion support reply is difficult to obtain, the invention applies to gradually mine deep psychological causes of a user and extract potential demand information by performing multi-level reasoning on emotion expression and semantic clues input by the user. The overall framework comprises a listening stage and a suggestion stage, the listening stage guides a user to more truly express emotion and intention through an active listening strategy, and the suggestion stage generates targeted and common emotion support reply according to the identified implicit demand. According to the method, dynamic processing from surface emotion to deep demand is realized in combination with an inference chain mechanism, and the method has continuous emotional sharing ability and personalized response characteristics. And accurate emotion support reply can be obtained.

The invention discloses a collimated direct-driven joint and a transmission transparency design method thereof, and belongs to the field of robot joint design. The method comprises the following steps: determining key parameters needing collaborative optimization of a speed reducer and a motor based on a transmission transparency evaluation system containing quick response capability and torque sensing capability; and carrying out relevance matching and synchronous optimization design on key parameters in order to simultaneously improve the capabilities of the two aspects. The transmission transparency design method of the system is established for the first time, and the interaction safety and response performance of the joints are remarkably improved through parameter collaborative optimization.

The present disclosure provides a training method and device for a double-point-foot robot squatting action control model, and relates to the technical field of robots. The method comprises: in the training process of the squatting action control model, configuring an instruction vector containing squatting instructions for the double-point-foot robot; the squatting instructions are scalar values randomly sampled within a preset range; in each training cycle, the current value of the squatting instructions is read, and in response to the current value meeting a threshold condition, the current training instance is identified as a squatting instance; for the squatting instance, the corresponding gait parameters are set to zero values, and a reward function is configured to obtain a positive reward when the robot knee joint is in contact with the ground and a positive reward when the robot body height is lower than a preset threshold. The present disclosure introduces the squatting instruction dimension in the training stage, so that the control model can distinguish between normal walking behavior and squatting behavior based on the instruction state, thereby having the response ability to switch the squatting action at any posture.

The application discloses a personalized teaching skill training system and device based on a large language model, a medium and a product, relates to the technical field of teaching skill training, and provides a solution meeting teaching requirements for a teaching problem proposed by a teacher through a teaching skill learning module in the system, so as to help the teacher learn teaching skills; secondly, a plurality of virtual student roles and a real scene teaching scene are generated through a real scene teaching simulation module, and the teacher is provided with online video mode for simulation, so as to exercise and improve actual teaching ability; thirdly, teaching behavior performance data and teacher-student interaction data are analyzed through a teaching feedback analysis module, a report is generated, and suggestions are proposed for deficiencies; finally, suitable teaching skill training resources are recommended through a teaching resource recommendation module, so as to help the teacher deeply learn and improve teaching methods. The scheme can effectively improve the teaching ability of the teacher, especially the response ability when facing diversified student behaviors and demands.