22 results about "Rhythm" patented technology

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 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 application discloses a kind of account risk identification method, electronic equipment, storage medium and program product.The method comprises: obtaining the input behavior sequence generated when user interacts based on target account;Feature extraction is carried out on input behavior sequence, and current input rhythm feature vector is obtained;According to user rhythm benchmark model and input rhythm feature vector, feature deviation degree calculation is carried out, and deviation degree calculation result is obtained;According to the deviation degree calculation result corresponding to each input rhythm feature, weighted fusion processing is carried out, and rhythm abnormality score is obtained;When rhythm abnormality score is greater than preset abnormal threshold, it is determined that target account exists abnormal input behavior, and it is determined that target account exists abnormal risk.The method can solve the problem that user input behavior cannot be perceived during login process, and account risk cannot be identified in time.

1. Name of the product in this design: Rhythm Motion Machine. 2. Purpose of the product described in this design: This design relates to a rhythmic device that can simulate motion effects by vibrating up and down. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses an intelligent identification method for preventing electricity theft in electricity metering boxes, belonging to the field of power monitoring and intelligent identification technology. The method includes the following steps: collecting electrical change indicators and time references of the electricity metering box throughout its operation; organizing the collected results into a continuous time series and establishing a rhythm reference framework; performing a dual-rhythm comparison under the time reference framework, comparing and analyzing the amplitude fluctuations and phase transition positions at different operating stages, and extracting time-consistent phase change points from the continuous time series to provide time positioning for subsequent waveform tracking. This invention achieves temporal uniformity and rhythmic correlation of electrical indicators by constructing a continuous time series and a rhythm reference framework, improving the stability and accuracy of electricity theft identification; and through dynamic sampling adjustment based on risk rhythm records, employing foldback sampling, phase reverse sampling, and rhythm rearrangement, it achieves real-time error correction and anomaly identification, accurately judging electricity theft characteristics.

The application provides a method for stabilizing the yield of enzymatic extraction of pomace based on dynamic smoothing and process control, and relates to the technical field of enzymatic extraction of pomace, comprising: collecting process detection data of the enzymatic extraction reaction system of pomace to obtain original yield data at each sampling time; constructing a smoothing time window, calculating the yield evolution driving quantity and performing dynamic smoothing processing to obtain the smoothed yield evolution driving quantity; and mapping the state to form a yield evolution state sequence; constructing a rhythm time window, dividing the continuous state section and determining the yield rhythm; based on the smoothed yield evolution driving quantity at the current sampling time and the yield rhythm of the nearest continuous state section with the same yield evolution state, obtaining the rhythm deviation judgment result, and accordingly adjusting the process control parameters adaptively. The application makes the yield evolution trend consistent with the historical rhythm of the same yield evolution state in the same pomace extraction process through dynamic monitoring and regulation of the enzymatic extraction process of pomace, thereby improving the extraction stability and process efficiency.

The application relates to the technical field of intelligent interaction devices, and discloses a mechanical intelligent music interaction feedback execution device, which comprises a base, a PLC control board arranged in the base, and an audio interface arranged outside the base; a first fixing plate and a second fixing plate are arranged on the top of the base, a first transmission execution assembly and a second transmission execution assembly are arranged on the two fixing plates respectively, and a position sensor is arranged on the side of each of the two assemblies. The PLC control board analyzes the rhythm and strength characteristics of music input by the audio interface, generates a target motion position, calculates errors in combination with actual positions of a mechanical structure collected by the position sensor in real time, and adjusts the output action of a driving motor in a closed loop. The application enriches the mechanical action output form of the device, compensates for physical lag of mechanical transmission through closed loop feedback, realizes high synchronization of mechanical action and music rhythm, and reduces assembly difficulty through modular layout, so that independent disassembly and maintenance in the later period are facilitated.

The present application relates to the technical field of neuroacoustics, in particular to a personalized brainwave induction audio generation method and system, comprising: step S1, extracting multi-dimensional features of an input audio signal, the extracted dimensions including at least time domain features, frequency domain features, pitch features, emotion features and complexity features; step S2, based on the multi-dimensional features extracted in step S1, parallelly calculating parameters of four neuroacoustic induction mechanisms; step S3, according to the features obtained in step S1 and the four-mechanism parameters obtained in step S2, fusing signals corresponding to the four mechanisms through a weight distribution strategy and a signal synthesis formula to generate a final brainwave induction audio. The present application has the advantages that: four mechanisms of rhythm synchronization, harmonic resonance, neural oscillation coupling and binaural beat effect are fused, mechanism parameters are dynamically adjusted through analysis of music features, and efficient personalized brainwave induction is realized.

The application provides a kind of antenatal education interaction method based on vocal singing feedback training interface, the method is based on the user brain wave data set, the activity of different frequency bands is analyzed, the intensity of each wave band is identified and quantified, and the current emotional state of the user is judged by comparing with the preset threshold, and the time point of emotional change is recorded, the emotional analysis result is obtained, the rhythm, volume and spatial sound effect setting of music are adjusted, the dynamic adjustment of music output parameter is realized, the emotional intervention demand is optimized, and according to the change of user brain wave, the emotional improvement and user satisfaction are evaluated, the improvement effect of music intervention on user psychological state can be measured, the effectiveness of feedback closed loop is ensured, and more efficient, accurate and psychological demand meeting music feedback training effect is provided for user.

The application relates to a Songci generation method and system based on fuzzy sentiment and interactive polishing, which comprises the following steps: clustering and calculating theme distribution probability of high-dimensional semantic embedding vectors after dimension reduction through a context theme model; a generation model is constructed to embed character and rhythm features, generate rhythm constraint features, project the theme distribution probability to a feature space, splice the theme distribution probability and the rhythm constraint features to form an external memory matrix, and generate a Songci draft conforming to specified rhythm and theme distribution; a polishing model based on a bidirectional encoder is constructed to normalize and inject theme distribution probability through a condition layer, and generate candidate words; a composite reward function is constructed to perform reinforcement learning fine-tuning on the model; and according to the theme distribution and the lyrics input by a user, Songci is generated, candidate words are recommended for fragments needing modification, and interactive Songci polishing is realized. Compared with the prior art, the application enhances the semantic diversity and artistic conception accuracy of the generated Songci under the premise of meeting strict tone and stress requirements.

This application relates to the field of lighting effect control technology, and provides a lighting effect control method, sound system, and ambient lighting device. The method includes: after detecting the current rhythm point, first determining the expected cutoff position of the lighting effect based on the intensity value of the current rhythm point, the starting position of the LED bead in the light strip, and the ending position of the LED bead in the light strip; then performing phase transformation on the expected cutoff position to obtain the target motion phase; if it is determined that a phase reset is needed based on the target motion phase and the current motion phase, then controlling the lighting effect movement according to the predicted cutoff position. This application immediately detects whether lighting effect adjustment is needed after detecting the rhythm point, rather than forcibly completing the current motion cycle, eliminating the response lag problem under high-frequency rhythms; furthermore, this application only performs phase reset when the phase deviation reaches a threshold, avoiding jumps, flickering, and motion disorder caused by simple hard interruptions, resulting in natural and smooth lighting effect start-stop and turning, significantly improving visual comfort.

The application discloses a kind of time music score, belong to music score technical field, solve the problem that the existing music score has no time information mark and leads to the difficulty of playing, playing music section selection positioning, rhythm control.The present application adds static or dynamic playing time information to each line, each measure or note of music score, and the time information is calculated according to the BPM and beat of music, and the playing time of single measure is (60 ÷ BPM) × each measure beat number, and the time precision is rounded to 0.1 second, and the time is marked in seconds (s) ;Multiple voices, lyrics are marked as a line;Time track, measure line marking, dynamic progress bar / mark multiple forms are used, and the measure number and time information of dynamic music score are one-to-one corresponding.The present application realizes the visualization of music score time dimension, accurately positions the music section, improves the efficiency of learning and playing, adapts to various music scores and digital playing tools, and has strong practicality.

A brain state recognition method, device, equipment and storage medium are disclosed. The brain state recognition method comprises: acquiring multi-channel electroencephalogram data generated by a user under a preset evoked potential stimulation mode; performing rhythm component and non-rhythm component separation processing on each channel of electroencephalogram data to obtain rhythm data and non-rhythm data corresponding to each channel of electroencephalogram data; extracting first rhythm features from the rhythm data corresponding to each channel of electroencephalogram data, and extracting first non-rhythm features from the non-rhythm data corresponding to each channel of electroencephalogram data to obtain first rhythm features and first non-rhythm features corresponding to each channel of electroencephalogram data; constructing a fusion rhythm feature set according to the first rhythm features and the first non-rhythm features corresponding to each channel of electroencephalogram data; and inputting the fusion rhythm feature set into a preset brain state recognition model to obtain a brain state recognition result output by the brain state recognition model.

This invention relates to the field of music therapy technology and discloses a method for evaluating the effect of music therapy based on physiological feedback. The method includes: acquiring music signals and physiological feedback signals, and constructing a physiological response sequence; performing structured analysis on the music signals to construct a music structure sequence; constructing a physiological state trajectory based on the physiological response sequence; performing music-physiological time-delay coupling analysis based on the music structure sequence and the physiological state trajectory to determine the coupling relationship; identifying the resonance interval between the music rhythm and the physiological rhythm, and performing steady-state convergence analysis; constructing a counterfactual baseline and performing offset analysis, while simultaneously performing multi-channel consistency analysis; and generating a music therapy effect evaluation result based on the above results. This invention, by establishing a time-delay correspondence between the music structure sequence and the physiological state trajectory, and by constructing a counterfactual baseline and performing offset analysis, distinguishes the physiological changes caused by music stimulation, thereby forming an evaluation method based on temporal correlation.

The application discloses a triacetin production process self-adaptive control system based on an energy consumption model, relates to the technical field of industrial automation, and comprises an energy rhythm construction module, a load jump identification module, a superposition sign analysis module, an intervention time point generation module and a time-lag buffer adjustment module; the energy rhythm construction module collects energy consumption change information and working condition rhythm information in a triacetin production running process, aligns and arranges the collected energy consumption change information and working condition rhythm information in time, and forms continuous and consistent energy rhythm records. The application realizes dynamic monitoring of energy input and load change by constructing energy rhythm records and load jump identification, identifies energy accumulation trends in advance, avoids concentrated energy input caused by compensation lag, adjusts time-lag buffer and maintenance, makes energy input rhythm gentle, weakens superposition effect, controls temperature fluctuation, maintains energy dynamic balance, improves process safety and energy consumption utilization efficiency.

This invention discloses an infinite music generation method and system based on bidirectional spatiotemporal sequences and natural rhythms. Using 2026 as the base year (but not limited to 2026), it constructs a bidirectional infinite sequence with positive future and negative history based on infinite non-repeating mathematical constants, ensuring the uniqueness and non-repetition of music segments from the algorithmic root. It employs a unified and standardized digital-note mapping system, simultaneously compatible with numbered musical notation, international standard pitch names (CDEFGAB), and traditional Chinese gongche notation, achieving unified pitch mapping across multiple systems. The system automatically generates music and simultaneously incorporates distributed ledger (including blockchain), rights confirmation, anti-counterfeiting, traceability, and anti-duplication verification modules. The unique ID is compatible with dark media IDs, forming a closed-loop chain from generation to rights confirmation to authorization to operation. This invention addresses the pain points of existing music generation methods, such as insufficient scalability, difficulty in rights confirmation, susceptibility to infringement, low automation, and inconsistent pitch systems. It possesses strong novelty, creativity, and industrial applicability, enabling global-scale commercial operation.

The present application relates to the field of atmosphere lamp control, and particularly relates to a control method and device of atmosphere lamp. The present application carries out activity analysis on audio data of multiple frequency bands, and dynamically selects an advantage target frequency band according to the activity, which discards the mode of fixedly selecting frequency band in the traditional scheme. Since rhythm energy of different styles of music is distributed in different frequency bands, the dynamic selection mechanism can follow the change of music type, lock the frequency band where the current music rhythm is concentrated, and adapt to rhythm distribution characteristics of various music. Relying on the target frequency band to collect audio frames and carry out effective beat point detection can ensure the effectiveness of rhythm signal collection and avoid rhythm missing detection caused by improper frequency band selection. On this basis, the atmosphere lamp displays light effects according to the beat analysis result, which can realize stable synchronization of light and music rhythm, and effectively solve the problems of poor style adaptability, rhythm capture failure of part of the music, and poor light rhythm performance in the prior art.

The present application relates to the technical field of dance posture correction, and provides a dance posture correction method and system based on artificial intelligence, which comprises the following steps: processing audio data of a dance video to be corrected, segmenting the dance video according to beat time points of music segment division, and identifying joint point coordinate strokes of a human body before and after the beat time points by using an artificial intelligence model, wherein the coordinate strokes reflect dance action conditions; determining whether dance action is stuck at the beat time points by identifying whether the joint point strokes of the human body in two video segments are continuous strokes, judging whether dance posture at the corresponding beat time points needs to be corrected, and quantifying the corresponding relationship between dance action and music rhythm, so that a user can complete the correction based on his / her own dance video, and thus more intelligent and more accurate dance teaching and evaluation are realized.

A system for graphically organizing a song's lyrics to the song's timing and chords, separate from the poetic phrasing of the lyrics, is provided. The lyrics are entered and manipulated with respect to the song's timing via a graphical display. Chords can be added at specific locations within the lyrics, including within a line and within a word. The arrangement of the lyrics, chords and timing are graphically presented with respect to measures of the song. Subsequently, a user can change the location of the lyrics as between one measure and another, as well as move or add chords. The system will represent the arrangement as the changes are made on a graphical display.

This invention discloses a reliable method for storing automatically verified data based on unique identifiers, belonging to the field of data storage technology. The method includes the following steps: collecting the generation time information, arrival time information, and unique identifier of the device for automatically verified data; determining the original rhythm offset and forming a rhythm recording result; constructing a time buffer based on the rhythm recording result; rearranging automatically verified data with abnormal arrival order to obtain a rhythm correction result; generating a sequence placeholder identifier based on the rhythm correction result and writing it into the recording space; performing position matching and writing of delayed automatically verified data according to the sequence placeholder identifier; and performing overall sealing after all sequence placeholder identifiers are filled. This invention achieves positional writing of delayed data through sequence placeholder identifiers and performs overall sealing after all positions are filled, thereby maintaining the continuity and consistency of the automatically verified data recording relationship and improving the stability of the stored records.

The application discloses a method for inverting seepage-disturbance coupling mechanical parameters of a waste-dump filling body based on multi-source monitoring data, relates to the technical field of geotechnical engineering and engineering geology, and comprises the following steps: in the process of inverting seepage-disturbance coupling, stress response change data in the process of external loading and advancing are acquired, the interval and amplitude increasing relationship at each moment are recorded in time sequence, the rhythm repetition degree between continuous fluctuations is marked, and original change records reflecting periodic superposition characteristics are formed. The application converts the dispersed fluctuations into continuous change trajectories through rhythm separation, early traction and progressive compression processing, realizes the continuous expression of implicit anomalies, simultaneously corrects the change deviating from the trend through offset guiding and direction constraint, enhances the anomaly accumulation effect and suppresses the background interference, and thus the accuracy and response timeliness of the mechanical parameter inversion are improved.