210 results about "Rhythm" patented technology

The invention relates to the technical field of music feedback, in particular to a music feedback training interface interaction method and system based on electroencephalogram data, and the method comprises the following steps: collecting electroencephalogram data of a user based on an electroencephalogram collection device, and removing environmental noise and non-target signals through signal amplification and filtering processing to obtain a user electroencephalogram data set. According to the method, the emotion recognition accuracy and time sensitivity are improved by analyzing the brain wave frequency band intensity, judging the emotion state of the user and recording the emotion change time point, and the emotion recognition accuracy and time sensitivity are improved by matching music tracks of the emotion state, combining real-time monitoring of electroencephalogram reaction and adjusting the rhythm, volume and spatial sound effect setting of music. Dynamic adjustment of music output parameters is achieved, the emotion intervention requirement is optimized, emotion improvement and user satisfaction are evaluated according to brain wave changes of the user, and the improvement effect of music intervention on the psychological state of the user can be measured.

The invention relates to the technical field of artificial intelligence and multimedia interaction, and discloses an AI music rhythm-based dance movement real-time generation system, which comprises a music rhythm extraction module used for extracting rhythm time and intensity characteristics of input music and generating music rhythm distribution; the dance movement generation module generates initial dance movement distribution according to the extracted music rhythm distribution and is used for generating the initial dance movement distribution based on a pre-trained deep learning model; and the dynamic synchronization module is used for calculating a mapping relation between music rhythm distribution and dance movement distribution through a dynamic optimal transmission method. According to the technical scheme, dynamic optimal transmission and variational optimization are combined, the technical effect of high-precision alignment of actions and music rhythms is achieved by optimizing the synchronization relation between music rhythm distribution and dance action distribution, the problem of mismatching of actions and music in a complex music rhythm change scene is solved, and the accuracy of the movement and the music is improved. And the dancing action is more natural and smoother.

A VEM-Token emotion synchronization function hierarchical fusion method is different from a traditional NLP-Token method, an emotion synchronization function VEM-sync is innovated for the first time, the emotion synchronization function VEM-sync is synchronized with a VEM-Token sequence of music beats, multiple high-dimensional emotions are directly described by adopting mathematical languages, and therefore deviation of discretized natural language characters on description of a high-dimensional emotion analog quantity function is avoided, and the emotion synchronization effect is improved. The method comprises the steps of defining VEM-sync and synchronous content, defining rhythm attributes, emotion attributes and emotion functions, adopting one or combination of multi-layer weighted scanning, a recurrent neural network, a long and short-term memory network, a self-attention mechanism and an RAG network generated by retrieval enhancement, and performing hierarchical fusion calculation to output a time emotion function of a vocal music file. According to the phonetic function or the emotional function, the effects of emotional texts, emotional expressions, emotional languages and emotional multi-dimensional animations are directly driven by crossing discrete text tokens, a model context protocol (MCP) and a function calling function are supported, and copyright management and encryption and decryption or interfaces are provided.

The invention discloses a multifunctional indoor lighting system based on AI, and provides an intelligent and personalized lighting scheme. The system comprises a human body detection module, a light induction module, an emotion recognition module, a music rhythm module, a central control module, a user interaction module and a communication module. The human body detection module uses an infrared sensor, a camera or a radar to monitor personnel activities in real time and automatically control a light switch. The light sensing module dynamically adjusts the brightness through a photosensitive sensor to ensure optimal illumination; the emotion recognition module analyzes emotion in combination with a camera and an AI algorithm, and automatically adjusts the color and brightness of light; the music rhythm module captures music rhythms through a microphone, so that light changes along with the music rhythms, and atmosphere is created. The central control module integrates sensor data, and utilizes an AI algorithm to accurately adjust the light effect. A user can set a personalized scene through a smart phone APP, a voice assistant or a touch panel. And the communication module adopts a Wi-Fi or 2.4 G wireless technology to realize equipment interconnection and remote control. The system has the advantages of intelligent control, energy conservation, environmental protection, multifunctional integration and the like, is widely suitable for families, offices and entertainment venues, and improves the lighting experience.

The invention relates to the technical field of intelligent health assessment, in particular to an intelligent health assessment analysis method and system based on health management, and the method comprises the following steps: obtaining a direction conflict path in a monitoring period, tracking an offset change, positioning a synchronous bifurcation position, extracting a trend switching section and a rhythm repetition path, extending a fluctuation range, and dividing a bifurcation structure. And identifying trend starting and ending and tracking a direction trend to obtain a health state grading judgment label group. In the invention, through identifying direction conflicts and rhythm fluctuation changes in an index path, constructing a continuous track structure and extracting a trend differentiation paragraph, and combining a path continuation sequence and fluctuation rhythm distribution, rhythm tracking of state transaction and trend turning is completed. A label sequence with direction perception and rhythm identification features is generated under multi-time sequence change, the response ability of health state division to trend evolution is enhanced, and the capture ability of evaluation to potential state change and the adaptability of classification and layering are improved.

The invention relates to the technical field of atmosphere lamp control, in particular to a dynamic atmosphere lamp control method and system based on music rhythms. The method comprises the following steps: collecting a real-time audio signal stream, carrying out multi-scale wavelet decomposition and audio rhythm hierarchical structure perception, and constructing an audio rhythm feature perception map; performing spatial audio azimuth analysis based on the real-time audio signal stream, and performing adaptive dynamic atmosphere lamp parameter control based on the audio rhythm feature perception map to obtain an adaptive dynamic atmosphere lamp control strategy; according to the self-adaptive dynamic atmosphere lamp control strategy, initial atmosphere lamp control is carried out, a real-time image in the area is obtained, weak light intensity area coverage compensation optimization is carried out, and a dynamic atmosphere lamp space lighting effect optimization strategy is constructed; personalized natural physiological rhythm mining and physiological-music resonance frequency fine tuning are carried out, and user physiological-music resonance frequency fine tuning parameters are generated. According to the invention, high-response atmosphere lamp control which dynamically adapts to the light effect preference change of the user is realized.

The invention discloses a cardiac flow experience closed-loop regulation and control method and system based on sensory movement synchronization. The method comprises the following steps: acquiring initial electroencephalogram data of a user, extracting frequency domain periodic and non-periodic electroencephalogram characteristics related to cardiac flow experience to obtain an initial electroencephalogram characteristic value, randomly presenting rhythmic sensory stimulation at a preset rhythm, and executing corresponding behavior response by the user; calculating a sensory motion synchronization index; according to the sensory motion synchronism index and a preset interval, the sensory motion synchronism index is stabilized in the preset interval by adjusting the rhythm; extracting frequency domain periodic and non-periodic electroencephalogram features again, and calculating the variable quantity of the relative initial value; judging whether the sensory stimulation presentation rhythm is adjusted or not in combination with the variable quantity and a preset standard; and if the rhythm needs to be adjusted, repeatedly executing the previous steps until the variable quantity of each electroencephalogram characteristic value is adjusted to a preset standard. The system can adaptively adjust the interaction content, optimizes the heart stream experience according to the electroencephalogram characteristics of the user, and improves the immersion and pleasure of the user.

The invention provides an emotion regulation music therapy system based on biological feedback and a method thereof, and aims to realize personalized emotion regulation and psychological rehabilitation by monitoring the emotion state of a user in real time and automatically regulating music rhythm and melody. The system collects physiological and behavioral data of a user by integrating a heart rate monitor, a skin electric response sensor, a facial expression recognition camera and other biosensors. By utilizing an advanced emotion analysis engine, the system can accurately identify the emotion change of the user and recommend appropriate music from a music database containing various styles and emotion tags. In addition, the system further has a personalized learning algorithm, music recommendation can be continuously optimized according to preference and feedback of the user, and customized music experience is provided. A user can interact with the system through an intuitive user interface, adjust settings and provide feedback. The system also pays attention to privacy protection of the user data, and ensures that all the collected data accord with privacy protection laws and regulations.

The invention relates to the technical field of music generation and human-computer interaction, and discloses a dynamic music rhythm system of nonlinear dynamics and a generation method. The dynamic music rhythm system based on nonlinear dynamics comprises an input sensing module, a nonlinear oscillator network core module, a parameter adaptive mapping module, a rhythm event extraction and synthesis module, an interaction feedback module and a storage and learning module. Dynamic rhythms are generated in real time through a nonlinear dynamic model, and system parameters are optimized through deep reinforcement learning, so that highly personalized music rhythm output is realized; the method has stronger dynamics, real-time performance and interactivity, is particularly suitable for various application scenes such as music performance, psychotherapy and healing, public art and the like, and has the advantages of important popularization value, application prospect and the like.

The invention relates to the technical field of motion control, in particular to a stepping motor monitoring control method and system, and the method comprises the following steps: obtaining a target and feedback signal rising edge sequence, analyzing a periodic change direction, judging a time migration trend, extracting a voltage and current response section, recognizing a disturbance time slice, and positioning high and low level boundaries. And screening signals with consistent frequency, extracting a running rhythm time sequence, and comparing a rhythm sequence to obtain a monitoring control behavior. According to the method, the time sequence of rising edges of a target and a feedback signal is compared, the displacement deviation trend is judged in combination with the periodic change direction, an interference section is identified by utilizing voltage abrupt change and current fluctuation characteristics, a control boundary is delimited according to the distribution of the interference section in high and low levels, and signal segments with consistent frequency characteristics are extracted to construct an operation rhythm. The driving behavior is extracted in combination with the signal time sequence and the rhythm sequence, the responsiveness to rhythm change is enhanced, and the problems of interference fluctuation and control rhythm disjunction caused by rhythm dislocation are relieved.

The invention relates to the technical field of neuroacoustics, in particular to a personalized brain wave induced audio generation method and system, and the method comprises the steps: S1, extracting multi-dimensional features of an input audio signal, the extracted dimensions at least comprising a time domain feature, a frequency domain feature, a pitch feature, an emotion feature and a complex feature; s2, on the basis of the multi-dimensional features extracted in the step S1, parameters of four neuroacoustic induction mechanisms are calculated in parallel; and S3, according to the features obtained in the step S1 and the quadruple mechanism parameters obtained in the step S2, signals corresponding to the four mechanisms are fused through a weight distribution strategy and a signal synthesis formula to generate a final brain wave induction audio. The method has the advantages that four mechanisms of rhythm synchronization, harmonic resonance, neural oscillation coupling and binaural beat frequency effect are fused, parameters of all the mechanisms are dynamically adjusted by analyzing music characteristics, and efficient personalized brain wave induction is achieved.

The invention relates to a low-voltage distribution line comprehensive intelligent protection method based on multi-parameter linkage, and the method comprises the following steps: collecting power distribution abnormal data, calculating a trigger interval, screening segments in a period, generating a sequential segment group, analyzing a serial number difference value to form a continuous path, recognizing rhythm abnormality, and eliminating interference flow. And a time fault is checked to construct a closed chain table, a rhythm stable closed loop structure is screened, and an intelligent protection result is output. According to the method, continuous fragments are constructed based on trigger rhythms and event numbers in abnormal data processing, path continuity is judged through difference values, effective flow directions are recognized, disturbance fragments are eliminated in combination with rhythm comparison, stable closed paths are constructed, and sequences with consistent rhythms and continuous numbers are screened to serve as a judgment basis. Accurate description of an abnormal propagation path and effective tracking of a response rhythm are realized, and identification sensitivity and protection strategy adaptability of a distribution line under multi-source interference are enhanced.

The invention belongs to the technical field of music recommendation, and provides a personalized music recommendation method, device, equipment and medium based on emotion perception, and the method comprises the steps: collecting user motion monitoring parameters and physiological state data, and carrying out the personalized motion rhythm calculation to obtain a user motion rhythm model; according to the physiological state data and a user exercise rhythm model, heart rate frequency band-beat synchronous matching and intelligent index hierarchical management are carried out, and a music index candidate pool is obtained; performing multi-scale wavelet transform decomposition on the physiological state data stream, and performing user personalized emotion perception to generate a real-time emotion sub-state; performing exercise emotion trend prediction on the user exercise rhythm model according to the real-time emotion sub-state to generate a user exercise emotion situation map; and performing multi-target music recommendation optimization processing from the music index candidate pool according to the user motion emotion situation map to obtain a recommendation result. The method has the beneficial effect that the personalized music recommendation accuracy is improved.

A vehicle ambient light music rhythm control method and system. The vehicle ambient light music rhythm control method is suitable for being implemented in a vehicle body control unit, and includes: obtaining a series of feature data of currently played music from a vehicle infotainment system, wherein each feature data corresponds to music data of a first cycle length; periodically determining a corresponding emotional color based on the series of feature data within a second time length; and determining an attribute of a vehicle ambient light based on the emotional color. The vehicle ambient light music rhythm control method and system have the advantages of low implementation cost, good ambient light music rhythm effect, etc.

The invention relates to a method and system for assisting clinical psychotherapy through traditional Chinese medicine music therapy. The method comprises the following steps: extracting five-tone frequency, rhythm and timbre characteristics of music, dynamically converting audio data into a dynamic image frame sequence in combination with a color mapping rule, and realizing multi-sensory real-time matching of the music and visual elements by utilizing a time synchronization algorithm and collaborative intensity calculation. And finally, dynamic collaborative stimulation is output through a streaming media transmission technology. Therefore, on the basis of retaining the kernel of the five-tone regulation theory in the traditional Chinese medicine, the problems of audio-visual splitting and difficulty in quantitative implementation of the theory in the traditional method are solved, and the multi-modal synergistic effect and clinical suitability of the music therapy in emotion and cognitive regulation are remarkably improved.

The invention relates to an insomnia diagnosis and typing method based on multi-modal signal fusion, which comprises the following steps of: acquiring multi-source physiological signals of a testee during a rest period at night to construct a multi-modal information source during a sleep period; performing rhythm recognition and consistency judgment on the collected signals, calculating the rhythm change trend of each modal signal in a preset time window, and determining whether a signal fragment with physiological rhythm synchronization imbalance exists or not according to the rhythm collaboration among modals; performing inter-modal logic consistency analysis on the rhythm anomaly signal segments, identifying contradictory states of different modals in the same time window, and marking the contradictory states as modal conflict nodes; extracting an activation sequence of each modal signal according to a sequential relationship of the conflict nodes so as to determine a dominant modal of the insomnia behavior; analyzing a state transition behavior of the multi-mode signal through a sliding time window, identifying a nonlinear fracture section of a sleep state, and determining an insomnia occurrence time section and jump characteristics in combination with a mode activation sequence so as to realize insomnia diagnosis and typing judgment.

The teachings described herein are generally directed to a system, method, and apparatus for separating and mixing tracks within music. The system can have a video that is synchronized with the variations in the musical tempo through a variable timing reference track designed and provided for a user of the preselected performance that was prerecorded, wherein the designing of the variable timing reference track includes creating a tempo map having variable tempos, rhythms, and beats using notes from the preselected performance.

The invention discloses a classification training method and system for sound spitting speed and definition of clarinet, and relates to the technical field of clarinet training. The rhythm signal of the player is captured in real time through the high-precision audio sensor, the rhythm speed is dynamically adjusted based on the preset threshold value so as to provide self-adaptive training difficulty, and real-time monitoring data is seamlessly integrated to the intelligent feedback system for generation of a subsequent evaluation report, so that the training efficiency is improved. It is ensured that a primary trainee can establish a stable rhythm basis step by step, and human error interference is reduced; a high-precision microphone is adopted to capture playing audios in real time, key feature parameters are automatically extracted through an embedded signal processing algorithm, a training scheme is optimized in combination with historical records, and it is ensured that a player can visually recognize improvement points and improve the performance ability in complex music segments; the breath efficiency index is calculated through an embedded algorithm, and the output of the audio recording and analyzing module is combined to generate personalized breath optimization suggestions, so that the breath control precision in playing is improved.

The invention discloses an audio and video generation method and system based on a large model, and relates to the technical field of artificial intelligence audio and video processing, and the method comprises the steps: collecting multi-modal data to extract features, and employing a pre-trained GLM-4 model to output a semantic consistency score; the method comprises the steps of defining an action space and a state space, calculating comprehensive rhythm density by using a weighted average method, calculating rewards of semantic consistency scores, constructing a fractional order Markov model, solving a rhythm phase difference by using a segmented Mitiger-Leveller function, defining a piecewise function PR, and solving the slope of the piecewise function PR by using an HHO optimization algorithm. The increment action of the audio and video is calculated, and correction is carried out by using an SBS-SMO sliding mode observer; fractional order Markov modeling is used, a segmented Mitiger-Leveller function is used for solving, the action space slope is regulated and controlled through an HHO optimization algorithm, and the semantic matching degree and rhythm coordination of audio and video generation are improved.

The invention discloses a rhythm mode intelligent identification and sightsinging rhythm training system and a method thereof, and relates to the technical field of music rhythm data processing, and the method comprises the steps: collecting multi-dimensional audio data played by a user, generating physical deviation data through time sequence comparison, judging a rhythm position and a timbre attribute in combination with sound intensity and frequency spectrum data, and carrying out the intelligent identification of the rhythm mode and the sightsinging rhythm training. Calculating deviation data by using the sensing weight coefficient; identifying a core rhythm problem based on the deviation data, and generating a personalized prescription exercise song in combination with the music style preference of the user; determining whether to add interference scene data or not according to a threshold value, generating interference music segments through an algorithm composition engine, and mixing and outputting the interference music segments; the interference intensity and the rhythm density are dynamically adjusted by comparing the change of deviation data before and after the change of the simulated exercise curve. According to the invention, personalized dynamic adjustment and closed-loop optimization of rhythm training are realized, and rhythm evaluation accuracy and training effect are effectively improved.

The invention discloses a music playing method and device, electronic equipment and a storage medium. A target music score file can be obtained; a sound source under at least one law system is configured for the target music score file, the sound source comprises a plurality of note playing resources, and each note playing resource corresponds to one note; constructing an audio track corresponding to the target music score file; and performing sound source control based on the audio track and at least one rhythm sound source so as to perform music playing based on note playing resources in the sound source. On the basis, music playing is carried out by combining the sound sources with the different rhythms and the note playing resources in the sound sources with the corresponding rhythms, and due to the fact that pitches of the different rhythms are different, the music style and appearance can be flexibly changed on the basis that the core characteristics of the music are not damaged on the basis of the difference. In addition, by changing the rhythm, it can be avoided that various different music versions need to be manufactured, the resource size is saved, and meanwhile the manufacturing cost is reduced.

The invention relates to a massage armchair adjusting method and device based on music signals and a medium, and belongs to the technical field of massage armchair control, and the method comprises the following steps: obtaining the music signals and performing windowing processing to obtain windowing signals; extracting a complex frequency spectrum value of the windowing signal, and obtaining a weighted energy value and a spectrum gravity center frequency of the windowing signal based on the complex frequency spectrum value; obtaining the total energy of the windowing signal based on the weighted energy value, and obtaining the rhythm intensity and the rhythm intensity change rate of the windowing signal through the total energy and the spectrum gravity center frequency; acquiring the massage frequency of the massage chair based on the rhythm intensity; and acquiring the massage intensity of the massage chair based on the rhythm intensity and the rhythm intensity change rate. The control signal is generated through rhythm intensity and change rate mapping to drive the massage frequency and intensity adjustment of the massage chair. The dynamic adjustment mechanism ensures real-time synchronization of massage actions and music rhythms, and provides highly personalized massage experience.

A 3D sound therapy mat with a plate-type conduction effect comprises a sleeping mat body and a somatosensory music system, wherein the sleeping mat body comprises a linear conduction layer, a plate-type conduction layer and a supporting layer; the linear conduction layer is completely woven from beginning to end with more than six independent yarns and coiled into a mesh surface, and vibrations and sound waves propagate in multiple dimensions from beginning to end, from point to surface, and from surface to space on each complete yarn, forming a vibrato field of linear vibrations and musical rhythms that are completely conducted in three dimensions and six directions; the plate-type conduction layer adopts a three-dimensional zero-deformation rigid structure to facilitate the cross-medium propagation of vibrations and sound waves, and has both longitudinal and transverse wave effects; the somatosensory music system comprises a vibrator, a controller, a power amplifier and a high-definition speaker; the vibrator is embedded in the rigid warp-knitted spacer fabric plate-type conduction layer and connected to the power amplifier, the vibration of the vibrator is transmitted along the Z direction, and the spacer wire will produce a unique trembling effect different from traditional vibrations and fluctuations under the action of vibration and fluctuation.

The application provides a robot dance automatic generation method and system based on music feature analysis, and relates to the technical field of robot control. First, a music feature spectrum covering rhythm, energy and other dimensions is constructed to convert abstract music into structured information understandable by machines, and then a dance semantic label sequence bound to a time axis is generated to provide accurate basis for action selection. By combining with a forward-looking window to predict future music features, the current and future candidate actions are filtered through a multi-objective model to realize the dual matching of action and music micro-rhythm and macro-structure. The finally generated control instruction sequence directly drives the physical robot, which breaks the dependence on video materials, realizes the automatic generation of dance with creativity and artistic expression, and improves the generation efficiency and adaptive flexibility.

The present invention relates to the field of virtual reality technology, and specifically to a real-time driving method and system for music performance postures based on spatiotemporal collaboration. The method captures performer movements through multi-angle video streams, combines them with audio signals, and uses a lightweight convolutional neural network to extract key joint coordinates. A multi-scale time window is innovatively used to analyze historical frame data to extract short-range, medium-range, and long-range temporal features. A key joint importance calculation mechanism is introduced to assign higher weights to performance-related key joints. Two-way enhancement of spatiotemporal information is achieved through a spatiotemporal deep collaborative interaction mechanism. Prediction parameters are dynamically adjusted based on real-time system delay information, and future postures are actively predicted to compensate for system delays. The expressiveness of predicted postures is enhanced by combining music rhythm information. Natural and realistic virtual character driving data is generated through physical constraints and inverse kinematics processing. The present invention significantly reduces the perception of system delay and improves sound and image synchronization and performance expressiveness.

The application discloses a song tone matching method and system based on audio spectrum analysis, and relates to the technical field of data processing.The method comprises the following steps: obtaining original singing audio and user audio, obtaining song sentences, obtaining first matching frequency spectrum segments corresponding to the song sentences, and obtaining second matching frequency spectrum segments corresponding to the song sentences; obtaining first frequency spectrum peak points, dividing the first matching frequency spectrum segments into first front frequency spectrum segments and first rear frequency spectrum segments, obtaining second frequency spectrum peak points, dividing the second matching frequency spectrum segments into second front frequency spectrum segments and second rear frequency spectrum segments; obtaining front frequency spectrum difference values, obtaining rear frequency spectrum difference values, and judging whether the front frequency spectrum difference values and the rear frequency spectrum difference values are smaller than a preset threshold value; if not, generating target front frequency spectrum segments and target rear frequency spectrum segments, constructing target sentence audio according to the target front frequency spectrum segments and the target rear frequency spectrum segments, and obtaining matching audio according to the target sentence audio.The application has the advantages of good song tone matching effect, rhythm deviation repair, original singing style reservation and user tone matching effect.

The invention relates to the technical field of folk songs, and discloses a digital voiceprint matching response system for folk songs, which comprises a voiceprint DNA generation module for extracting original rhythm features, original melody features and original emotional features of the folk songs through an audio signal processing technology to form voiceprint DNA data blocks, the real-time singing analysis module forms a singing feature data block according to singing audio of a modern singer, compares the singing feature data block with the voiceprint DNA data block, calculates a rhythm matching degree, a melody matching degree and an emotion matching degree, and sends calculation results to the acousto-optic reaction linkage module; and an interactive feedback strategy is implemented by carrying an acousto-optic reaction vessel in the acousto-optic reaction linkage module. The system enables the singer to visually understand the advantages and disadvantages of the singer in rhythm control, melody reduction and emotion expression, provides a multi-dimensional visual evaluation standard for the singer, and improves the evaluation accuracy of singing of the singer.

The invention discloses an AI-based multi-language adaptive recognition method, and relates to the technical field of language information processing, and the method comprises the following steps: collecting rhythm features and pause nodes in a continuous voice stream, extracting a speed change track, and generating a rhythm basic draft for representing the rhythm change trend of a voice signal in a time dimension; and performing speed change decomposition on the voice signal based on the rhythm basic draft, determining a speed increasing area and a speed slowing area, generating a time adjustment table, and recording the duration and rhythm span of each speed change section. According to the invention, through double-layer time control of a rhythm basic draft and a time adjustment table, dynamic time mapping and feature extraction continuity under speech speed change are realized; and through a dynamic rhythm adjusting mechanism, executing time extension in a speech speed increasing area, executing rhythm forward movement in a speech speed reducing area, and correcting semantic dislocation and fracture in real time, so that speech recognition keeps semantic integrity and recognition stability in a multi-language and variable-speed scene.

The invention discloses an anti-eavesdropping-based self-defined interval combination password method, which specifically comprises the following steps of: recording a time interval of adjacent keys in a password input process of a user by adopting a sliding window mechanism, and storing the time interval as a rhythm interval sequence; in the password input process, random jitter and rhythm speed scaling are applied to the rhythm interval sequence to generate a disturbed rhythm sequence; constructing a basic camouflage event comprising a camouflage sound source and a volume parameter, and randomly inserting an interference camouflage event into the basic camouflage event; combining the basic camouflage events and the interference camouflage events into an event queue, and performing sorting and anti-congestion adjustment according to a time sequence to form an interruptible camouflage event queue; and based on the camouflage event queue, playing corresponding camouflage sound according to event triggering time so as to carry out acoustic masking on a real key pressing rhythm.

The invention discloses a lifting type intelligent sensing control device for buzzing healing and a control method of the lifting type intelligent sensing control device. The device comprises a dynamic rhythm assembly and a static assembly which are arranged inside and outside. The static assembly comprises a fixed supporting ring and a static visual unit arranged along the fixed supporting ring, the static visual unit comprises static key pieces and first connecting pieces used for hanging the static key pieces below the fixed supporting ring, and the tops of all the static key pieces are flush. The bottoms of all the static key pieces are arranged in a wavy mode in the length direction of the fixed supporting ring. The dynamic rhythm assembly comprises a lifting supporting ring and a lifting key unit arranged along the lifting supporting ring, the lifting key unit is sequentially connected with a second connecting piece, a hoisting mechanism and dynamic key pieces from top to bottom, and the longitudinal lengths of all the dynamic key pieces are equal. Through combination of the dynamic rhythm assembly and the static assembly which are arranged inside and outside, dynamic and static combination is achieved, and the dynamic rhythm assembly automatically ascends and descends through the music beats.