53 results about "Live feedback" patented technology

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as personal intelligence, financial science and technology, medical health and the like, and discloses a task execution strategy generation and adjustment method, device, equipment and medium. Encoding the visual information, the audio information and the language instruction information to obtain a visual feature, an audio feature and a language feature, fusing the visual feature, the audio feature and the language feature to generate a comprehensive feature, generating an initial task execution strategy based on the comprehensive feature and executing a corresponding action, and in the execution process, according to real-time feedback information of the environment, executing the corresponding action according to the initial task execution strategy. And dynamically adjusting the initial task execution strategy by adopting a reinforcement learning model to obtain an updated task execution strategy. Through multi-modal information fusion and reinforcement learning dynamic adjustment, optimization and flexible updating of a task execution strategy in a complex environment are realized, and the autonomous decision-making capability of the intelligent equipment is improved.

The invention relates to the technical field of nano-probe detection, and particularly discloses a nano-probe test system for feeding back contact force in real time, comprising the following modules: a probe execution module comprising a nano-probe and a piezoelectric ceramic driver, the nano-probe realizing three-dimensional micro-displacement and establishing controllable contact with a wafer; the multi-dimensional signal sensing module is used for synchronously acquiring a contact resistance signal and a nanoprobe deformation signal; the data processing and control module is used for realizing signal analysis, force value calculation and driving control of a contact resistance signal and a nanoprobe deformation signal; the man-machine interaction module comprises a touch display screen and a real-time data recorder and is used for realizing visualization of force signals; the data processing and control module carries out cooperative analysis on the contact resistance signal and the nanoprobe deformation signal obtained by the multi-dimensional signal sensing module to obtain the real-time contact force of the nanoprobe and the wafer. The system solves the problem that a traditional nanoprobe detection system cannot feed back the contact force in real time.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.

The invention presents a novel AI-based system for real-time feedback during the creation of various forms of media, including text, audio, and video. The system simulates audience reactions, providing creators with insights into how their content is likely to be perceived by different audience segments. This feedback loop enhances the quality and effectiveness of content, helping creators avoid ambiguity, maintain engagement, and ensure their message resonates with the intended audience.

The present invention provides a sound quality adjustment method combining a vacuum tube and a TFT screen display, and relates to the technical field of audio processing. The present invention obtains spectrum optimization information through a vacuum tube module to preliminarily implement sound quality processing, and uses a TFT screen to display the initial sound quality parameter combination and distortion information in real time, so that the user can intuitively understand the current sound quality status; based on a deep learning model, the user's physiological feedback data is analyzed to generate a sound quality adjustment strategy that dynamically adapts to the user's status, further optimizes the sound quality parameter combination, and makes the adjustment process more intelligent; the user can modify the sound quality parameters in real time on an interactive adjustment interface, generate a final optimized secondary sound quality parameter combination indicator, and apply it to the adjustment of digital audio equipment; the accuracy and personalization of sound quality adjustment are improved, and at the same time, efficient real-time feedback and interactive experience are provided.

The system according to the embodiment aims to provide effective feedback in real time in training for sales and customer service. [Solution] A system according to an embodiment includes a scenario presenting unit, a script generating unit, a feedback providing unit, and a conversation analyzing unit. The scenario presenting unit presents a scenario. The script generating unit generates a script based on the scenario presented by the scenario presenting unit. The feedback providing unit provides feedback based on the script generated by the script generating unit. The conversation analyzing unit analyzes employee conversations in real time based on the feedback provided by the feedback providing unit.

The utility model discloses a rapid cotter pin supplementing device suitable for live working of a high-voltage transmission line, which comprises an operating rod, an operating rod connecting device and a picture receiving screen, one end of the operating rod is connected with the operating rod connecting device, a visual camera assembly is arranged on the operating rod connecting device, and the picture receiving screen is connected with the visual camera assembly. The other end of the operating rod connecting device is provided with a clamping assembly, the top of the clamping assembly is connected with an R pin, the device is fixed to the head of the insulating operating rod, it is ensured that the cotter pin is aligned with the screw hole through direction adjustment, the pin installing head is triggered to be released when the cotter pin is inserted into the screw hole, installation is completed, real-time feedback is conducted through a high-definition camera, and the operation rod is fixed to the head of the insulating operating rod. An operator can accurately observe the position relation between the hole position and the cotter pin, the rapidness and the safety of operation are ensured, the defects of the existing hot-line work tool in direction control and installation precision are overcome, the efficiency and the safety of hot-line work are remarkably improved, and the hot-line work tool has a good market application prospect.

The present disclosure offers a novel way for integrating social media engagements as actionable game moves, significantly enhancing user interaction and providing real-time feedback within a gaming environment. By bridging the gap between social media and gaming, this integration creates a dynamic and engaging user experience that can adapt and scale across platforms and applications. This integration not only enriches the gaming experience but also opens new avenues for marketing, community building, and user retention. This integration positions the game as a forward-thinking platform that leverages modern social media trends to create immersive and interactive content.

The utility model relates to the technical field of intelligent closestools, and provides an intelligent closestool which comprises a closestool body, the closestool body is provided with an information feedback label, and the information feedback label senses temperature changes of the closestool body and / or the surrounding environment of the information feedback label and displays corresponding feedback information. Therefore, the temperature information can be fed back in real time, and the user experience is improved. In addition, the utility model further provides an intelligent closestool.

The application relates to the technical field of game transaction management, and discloses a game user abnormal transaction behavior identification method and system, which comprises the following steps: S1, acquiring the transaction, in-game behavior, social relationship data and multi-modal data of the device environment of a user, and constructing a personalized behavior baseline based on user historical data to generate a user normal behavior sequence; S2, regarding the user as a graph node, regarding the transaction, behavior, social relationship and device correlation as edges, constructing a dynamic transaction relationship graph, and analyzing the updated transaction relationship graph according to the edge weight calculation result. Through the utilization of a dynamic transaction construction module, the combination of a reinforcement learning strategy module, the real-time feedback of a game environment, the dynamic adjustment of a detection strategy and model parameters, the effective response to changes such as the adjustment of an in-game economic system and the emergence of new transaction modes, the continuous maintenance of the efficient identification ability of abnormal transaction behaviors and the overcoming of the poor adaptability of traditional static models.

Systems and methods are provided for closed-loop, non-contact respiratory guidance that provide quantified alignment feedback data in real time. In one embodiment, the computer-implemented method may include receiving, by a computing system operably coupled to one or more processors, input data including respiratory data indicative of an entity's respiration. The computer-implemented method may include converting, by the computing system, the respiratory data to an entity respiratory signal such that the entity respiratory signal tracks the entity's respiration in real time. The computer-implemented method may include comparing, by the computing system, the entity respiratory signal to a suggested respiratory signal indicative of a suggested respiration. The computer-implemented method may include providing, by the computing system, alignment feedback data to the entity in real time based at least in part on the entity's respiration. The alignment feedback data may be indicative of an alignment between the entity respiratory signal and the suggested respiratory signal.

The invention discloses a multi-modal-based immersive self-adaptive treadmill rehabilitation training method and system, and the method comprises the steps: constructing a multi-modal synchronous data stream through synchronously collecting real-time posture data, surface electromyogram signals and treadmill state data of a user; further analyzing the gait quality, muscle activation and interaction state of the user in real time, and generating a multi-dimensional state vector; based on a preset self-adaptive strategy table, the state vector is compared with an expected threshold value of the current training stage, and a cooperative adjustment instruction aiming at the speed / gradient of the treadmill, the dynamic characteristics of the virtual scene and audio feedback is generated through intelligent decision; finally, closed-loop self-adaptive control is formed through multi-channel real-time feedback execution, and the training stage is automatically transited when conditions are met. According to the method, deep interaction and self-adaptive linkage of the physical training environment and the virtual immersion scene are realized, safer and more personalized rehabilitation training experience rich in sense of participation can be provided, and the accuracy and effect of rehabilitation training are effectively improved.

We provide the system. [Solution] A means of acquiring video and audio data of work in a work environment, A means for preprocessing acquired video and audio data to remove noise, A means for analyzing business operation patterns using pre-processed data and recognizing operation patterns, A means of identifying areas in business processes where efficiency improvements can be made based on recognized behavioral patterns, A means of generating real-time feedback on identified areas where efficiency improvements can be made, and providing workers with information including improvement suggestions, A system that includes means for generating efficiency improvement proposals and visual guide videos, and demonstrating methods for optimizing work processes.

A system and method for identifying filler speech and providing real-time feedback to a speaker for correction. The system receives a live audio signal from a user's speech, analyzes the audio signal for filler speech, authenticates the identity of the speaker, and, if filler speech is detected from an authenticated user, provides subtle sensory feedback to make the speaker aware of this behavior so that it can be corrected in real time, with the added benefit of helping the speaker improve their speech behavior by eliminating the use of filler speech.

The invention relates to the technical field of computers, in particular to a live broadcast script intelligent optimization system and method, and the system comprises a multi-source data collection module which is used for collecting audience data, live broadcast script data and historical feedback data; the script optimization engine comprises a content generation unit which generates a script framework based on the LSTM neural network according to the live broadcast theme, the commodity information and the target audience characteristics; the quality evaluation unit is used for carrying out quantitative scoring on the scripts through a multi-index fusion model; the dynamic optimization unit is used for adjusting script content and rhythm based on a reinforcement learning algorithm in combination with audience real-time feedback; the multi-dimensional analysis module is used for audience portrait analysis, creativity popularity prediction and commercial value evaluation; and the real-time feedback system receives audience feedback in live broadcast and drives the script optimization engine to perform dynamic adjustment. The efficiency is improved, the quality is optimized, and an industrial unified script quality evaluation system is established through standardized output.

This invention discloses a long-tail streaming video recommendation method based on data replay, including training data replay and partitioning steps, recommendation algorithm model training steps, and video recommendation steps. First, real-time user feedback data is collected and integrated with historical user feedback data for videos to construct a full training dataset. A small subset of data is then partitioned based on popularity. After allocating computing resources, the full model and the small subset model are updated based on the constructed full dataset and small subset dataset, respectively. Finally, video recommendations are performed based on the output of the ensemble model. This invention can effectively adapt to the constantly changing distribution of streaming video data even with limited storage space, fully utilize information from imbalanced data, and optimize performance on tail-end video data. Furthermore, this invention dynamically allocates computing resources during model updates to ensure efficient utilization of computing resources.

Devices and methods for providing real-time feedback of conversational attributes are provided. An audio signal comprising speech is received. The audio signal is divided into a plurality of sequential windows. A plurality of features is extracted from each sequential window of the audio signal. Each plurality of features is sequentially provided to a trained classifier and a speech attribute of the corresponding window of the audio signal is received therefrom. After receiving each speech attribute, and based upon that speech attribute and speech attributes of prior windows, a conversational attribute is generated. A user-perceivable output indicative of the conversational attribute is provided.

An access point (AP) may include a processing device. The processing device may receive, at the AP, a video performance capture. The processing device may identify, at the AP, metadata relating to the video performance capture. The processing device may determine, at the AP, a gateway setting based on the video performance capture and the metadata.

A system for interactive audience engagement during motivational speeches and live events. The system includes: a plurality of wearable audience engagement devices configured to be worn by the audience, each device including at least one biometric sensor selected from the group consisting of a photoplethysmography (PPG) sensor, a galvanic skin response (GSR) sensor, and a micro-expression detection camera, and further comprising an inertial measurement unit (IMU), a directional microphone, and a low-power wireless communication module; a central analysis and control server communicatively connected to the plurality of wearable devices via a wireless communication protocol, the server comprising a real-time data acquisition interface, a feature extraction engine, and a sentiment inference module executing one or more machine learning models trained to classify emotional and cognitive engagement states at the individual and group levels; a speaker feedback interface configured to receive processed audience participation metrics from the central server and provide real-time feedback to the speaker via a haptic, visual, or audible signaling mechanism; and an ambient synchronization subsystem consisting of intelligent lighting fixtures, programmable acoustic emitters, and projection systems, all networked to the central server and configured to dynamically adjust ambient conditions based on detected audience mood states.

The invention is suitable for the technical field of science popularization content interaction, and particularly relates to a personalized science popularization content generation method and system based on a user portrait and real-time feedback, and the method comprises the steps: obtaining personnel information data, and constructing a user portrait database and a science popularization database; during interaction, identifying the personnel, determining the identity of the interaction personnel, performing content screening, generating science popularization data framework display content for a user to select, and obtaining a selection result; calling corresponding data contents, generating prompt words, generating corresponding science popularization information, and displaying the science popularization information; feedback information is obtained in real time, and follow-up science popularization information is dynamically adjusted. According to the method, the content framework of the cognitive level is matched for the user based on the accurate portrait, the personalized narration is dynamically generated by utilizing the large language model, the interest focus is locked through sight tracking, and the understanding degree is judged through expression recognition, so that the real-time dynamic adjustment of the content is realized, and the pertinence, interactivity and user experience of science popularization are remarkably improved.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.

Systems and methods are disclosed with associated techniques for ensuring that structures are fully imaged, which may permit individuals to utilize mobile computing devices to record imagery of structures for the purpose of documenting their presence, size, location, and the like. As digital images are captured by a computing device, those digital images may be presented in the form of a video feed on a display of the computing device. One or more digital elements can then be overlaid on the video feed. To incentivize a user to move the computing device in a predetermined manner by guided live feedback, the appearance of these digital elements may be manipulated based on movements of the computing device.

An object of the system according to the embodiment is to provide individualized coaching according to the user's hobbies and preferences.SOLUTION: A system includes a collection unit, a generation unit, a coaching unit, a feedback unit, and a customization unit. The collection unit collects types of hobbies and preferences of users. The generator generates an appropriate coaching menu on the basis of the information collected by the collector. The coaching unit performs coaching with video and audio based on the menu generated by the generation unit. The feedback unit provides feedback in real time based on the coaching provided by the coaching unit. The customizing unit customizes the menu based on the feedback provided by the feedback unit.SELECTED DRAWING: Figure 1

A computer implemented method is provided for assisting an agent in providing feedback to a customer during a chat session. The method includes receiving live feedback from the agent to the customer in response to an inquiry from the customer. The method also includes determining if at least one automated response is needed by comparing and matching the live feedback with at least one predefined trigger pattern. The method further includes identifying one or more trigger phrases in the live feedback if automated response is needed and determining from a conversation history database at least one automated response based on the one or more trigger phrases. The method additionally includes appending the at least one automated response to the live feedback for presentation to the customer during the chat session.

Methods, apparatus, and systems for dynamic antenna tilt coordination. In one embodiment, real-time data from user equipment (UE) measurement reports are aggregated across multiple base station entities. State input for a machine learning algorithm may be generated from the aggregated UE measurements. The machine learning algorithm may be trained to maximize a real-time network consideration (such as data throughput) by adjusting antenna tilt. During operation, the machine learning algorithm provides tilt settings to each of the radio units (RU) of a base station. Live feedback allows the machine learning algorithm to robustly handle a variety of conditions (e.g., weather, data traffic, etc.)

The invention discloses a string instrument playing real-time acoustic quality feedback and visualization method and system, and relates to the technical field of man-machine interaction. Comprising an acoustic signal acquisition module, an acoustic feature extraction module, an acoustic quality evaluation module and a real-time feedback and visualization module, a string instrument acoustic signal is acquired through a high-sensitivity microphone array, after preprocessing such as band-pass filtering and framing, pitch, volume and timbre features are accurately extracted by utilizing an autocorrelation method, a root mean square method and a frequency spectrum gravity center respectively, and the real-time feedback and visualization of the string instrument acoustic signal is realized. And comparing the characteristics with a preset standard to realize comprehensive and accurate evaluation of the acoustic quality. Meanwhile, real-time feedback is prompted through different prompt tones and characters, so that a player can quickly know problems and adjust the problems in time; besides, the three-dimensional visual interface enables the pitch, the volume and the tone to correspond to three-dimensional coordinate axes respectively, quality levels are distinguished by color areas, and the acoustic quality state is visually presented by dynamic points, so that a player can integrally grasp the acoustic performance of playing from the spatial dimension, and the understanding threshold is reduced.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.

The invention provides an advertisement pushing optimization method and system based on an e-commerce platform. And through the baseline model, combining historical behavior data, shopping data and personal preference attributes of the user to predict advertisement categories that the user may be interested in. And when the real-time feedback system receives historical behavior data, shopping data and personal preference basic attributes of the user in real time, the model is adjusted and optimized, so that the model and user behaviors can be synchronously updated. An incremental learning algorithm is further introduced, and the sensitivity of the model to new user addition or user behavior mode change is ensured. In the pushing process, deep learning and multi-modal mixed recommendation are utilized, multi-modal information such as texts, images, audios and videos of users is fused, and more accurate advertisement pushing is achieved. Meanwhile, the innovativeness of the advertisement content is improved, the advertisement is more interesting, better user experience is provided through A / B testing and AR, VR and other technologies, and the conversion rate of the advertisement is improved.

The invention relates to the technical field of intelligent recognition, in particular to an intelligent perception and real-time interaction optimization method and system for cross-culture recruitment interview, and the method comprises the steps: collecting taboo data, and constructing a regional culture taboo rule library according to the three-level structure of country, category and entry; in the interview process, synchronously acquiring video streams and voice streams of an interviewer through a camera and a microphone; the video is preprocessed, a gesture recognition model is called to extract hand key points, feature vectors are generated, the similarity between the feature vectors and a target national taboo gesture template is calculated, and a limb taboo detection result is obtained; noise reduction and endpoint detection are carried out on the voice, effective voice segments are intercepted, and a language taboo detection result is generated through voice recognition in combination with a language taboo word list and emotional characteristics; and fusing the two types of detection results, outputting a comprehensive risk level according to a preset rule, generating an early warning signal and an interactive optimization suggestion when the comprehensive risk level reaches a threshold value, presenting the early warning signal and the interactive optimization suggestion on an interview interface in real time, and writing the early warning signal and the interactive optimization suggestion into a behavior database to update a rule base and generate a redisk report. According to the invention, the problems of lack of cultural taboo identification capability, language and non-language behavior analysis splitting and lack of real-time feedback and redisk mechanism in the interview process in the prior art are solved.

A button type intelligent string-free guitar system relates to the technical field of intelligent musical instruments and comprises a neck part and a body part which can be separated, the neck part comprises a neck main body, the front side of the neck main body is provided with a knob A located at the top and a button plate below the knob A, and the button plate is provided with a plurality of buttons. The guitar neck comprises a guitar neck body, a keyboard plate is arranged on the guitar neck body, a plurality of capacitance sensors corresponding to the keyboard plate are arranged on the guitar neck body on the back of the keyboard plate, a micro electric motor is arranged on the back of each capacitance sensor or in the guitar neck body around the capacitance sensor, a PCB control module is further arranged in the guitar neck body, and the guitar body part comprises a guitar body, and a touch screen is arranged at the joint of the front side of the guitar body and the guitar neck part. A PCB main control module and a sound box are arranged in the guitar body, and the touch screen is connected with the PCB main control module through a screen flat cable. According to the utility model, the capacitive touch control technology, the electric motor feedback, the playing indicating lamp and the display screen are combined, so that the key-type intelligent string-free guitar system which has strong functions of high-precision touch control, real-time feedback and user interaction is provided.