92 results about "Live feedback" patented technology

The invention discloses a new media-oriented interactive marketing method, which comprises the following steps of: 1, multi-source data acquisition: acquiring behavior data of a user in social media, a short video platform and an e-commerce scene in real time through an API (Application Program Interface), a burying point technology and cross-platform data crawling, comprising click tracks, staying duration, comment content, sharing behaviors and shopping cart operation; through the technical innovation of a dynamic content engine, a real-time feedback closed loop, edge calculation, reinforcement learning, a multi-modal material library, a GAN automatic synthesis technology, federated learning, a block chain and the like, the core benefits of improving the interactive conversion efficiency, data-driven real-time decision, reducing the content generation cost, balancing the safety and the effect, performing scene-based accurate touch and the like are realized; the user conversion rate, the click rate, the marketing response speed, the negative comment processing efficiency, the portrait accuracy and the target user coverage rate are remarkably improved.

The invention relates to the technical field of user interaction, in particular to a live broadcast bullet screen real-time feedback method and system based on interaction semantic matching, and the method comprises the steps: receiving and caching user bullet screens in real time, carrying out the density analysis and priority evaluation of bullet screen flows through the combination of filtering and resource optimization rules, dynamically adjusting the response frequency, and screening key bullet screens; a distillation processing mechanism intention unit is introduced, a user intention label in a key bullet screen is extracted, a vector is generated, historical behavior data of a sending user is obtained at the same time, the intention label, the vector and current real-time scene data of a live broadcast room are fused, and a bullet screen vector is constructed; performing similarity calculation in combination with the live broadcast content and user historical behaviors to obtain first feedback content; based on a reinforcement learning sentiment analysis strategy, combining user preference memory to generate second feedback content; and embedding the second feedback content into the current live broadcast interface through the client. According to the invention, real-time forward feedback and intelligent guidance of the live broadcast bullet screen are realized through interactive semantic matching.

The invention discloses a mobile game scene interaction intelligent optimization method based on a generative adversarial network, and aims to improve the game experience of players. Comprising the following steps: S1, collecting behavior data and interaction information of a player in a mobile game, and generating a preliminary behavior feature model; s2, constructing a generative adversarial network model; s3, generating diversified game scene interaction examples according to the trained generator; s4, evaluating and optimizing the generated scene interaction example by using a discriminator; s5, real-time feedback of the player is received, and the behavior feature model of the player is updated; s6, dynamically adjusting a generation strategy based on the updated behavior feature model, and optimizing a scene interaction effect; s7, environment data are integrated, scene interaction is optimized in real time, and the immersion of players is enhanced; and S8, providing user-defined scene interaction options for the players, and allowing the players to adjust according to personal preferences. The interactive experience and game fun of players can be effectively improved.

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.

The invention provides an interactive film watching control method and electronic equipment, and belongs to the technical field of artificial intelligence. According to the method, a user enters a movie and television virtual environment through AR equipment or VR equipment, and a visual simulation effect and an auditory simulation effect are adjusted to generate the best immersion feeling; and then collecting the user behavior and / or the user selection, and adjusting the film and television content according to the user behavior and / or the user selection, so that the film and television content can be dynamically adjusted according to the user behavior and / or the user selection, an interactive film watching experience is provided, and the immersion and participation sense of the user can be improved. And the movie and television content is analyzed through the AI, so that the user can be helped to better understand story backgrounds, role development, plot turning and the like in the movie and television content, and the film watching experience of the user can be enhanced. And according to the real-time feedback data of the user, the environment parameters of the film and television virtual environment and / or the behaviors of the non-player roles are dynamically adjusted, so that more personalized and adaptive film watching experience can be provided.

The invention discloses an automatic audio delay calibration method, device and equipment based on anomaly detection and a storage medium, which are applied to a multi-equipment audio system and are used for collecting audio signals for preprocessing, collecting delay time measurement values, environment data and the audio signals for abnormal data detection. Calculating a delay compensation based on the audio signal and the delay time measurement, calculating an environmental factor compensation based on the environmental data; based on the delay compensation and the environmental factor compensation, audio delay automatic calibration is carried out through a real-time feedback mechanism; and evaluating the system performance based on the audio signal acquired in real time and the delay time measurement value, and optimizing the real-time feedback mechanism in real time. Interference data are accurately identified and filtered through intelligent data analysis, and a real-time analysis and automatic processing mechanism is adopted, so that the limitation of traditional manual calibration is broken through. The system can dynamically sense environment changes and adaptively adjust calibration parameters, and millisecond-level delay calibration precision is achieved.

The invention provides a management method and system suitable for enterprise training, and belongs to the field of enterprise training. The management method suitable for enterprise training comprises the following steps: S1, establishing an individual occupational development planning file; s2, evaluating a result according to the occupational quality; s3, creating a virtual training scene; s4, designing training course content, and providing immersive training experience; s5, performing real-time feedback and evaluation; according to the method, the virtual reality technology is utilized, a more real and vivid training environment is provided for employees, the learning interest and participation degree of the employees can be improved, and the training effect is improved; multi-person online cooperative training is supported, and the communication and cooperation ability between employees can be enhanced; learning conditions of employees are fed back and evaluated in real time, training strategies can be adjusted in time, and the training effect is improved; the virtual training scene is created, so that more immersive and interactive training experience can be provided, and the learning effect and the participation degree of students can be improved.

Coaching simulator systems and methods, and non-transitory computer readable media, include receiving an interaction between a customer and an agent; scoring the interaction using an evaluation form; identifying a recurring improvement area for the agent based on the scored interaction and past scored interactions; creating a prompt for a large language model (LLM) by populating a prompt template; providing a framework to invoke the LLM using the created prompt, a model and a plurality of hyperparameters; starting a first coaching simulation scenario by invoking the LLM to present a first question to the agent; receiving a first answer to the first question from the agent; querying the LLM to analyze the first answer to the first question; and querying the LLM to provide real-time feedback and a score for the agent based on the analyzed first answer to the first question.

The invention relates to the field of education, and discloses an interactive feedback system for modern education, which comprises a state monitoring module, a feedback optimization module, a learning recommendation module, a teaching analysis module and a long-term tracking module, the state monitoring module is used for collecting expression, voice and eye movement data of the student in real time to judge the emotional state and understanding condition of the student; the feedback optimization module dynamically adjusts a feedback strategy according to the learning state and presents the feedback strategy to the teacher; the learning recommendation module generates a learning resource list according to individual demands of students and pushes the learning resource list to the student terminals; the teaching analysis module analyzes the data of the student group and provides teaching strategy optimization suggestions for teachers; and the long-term tracking module records learning data of the students and performs time sequence analysis to form a long-term feedback report. According to the invention, real-time feedback, personalized learning support and data-based teaching strategy optimization for students can be realized, and the teaching efficiency and the learning effect of the students are improved.

The invention relates to the field of user interaction technology, specifically a method and system for real-time feedback of live broadcast barrage based on interactive semantic matching. The method receives and caches user barrage in real time, performs density analysis and priority evaluation on the barrage stream in combination with filtering and resource optimization rules, dynamically adjusts the response frequency and filters key barrages; by introducing the intention unit of the distillation processing mechanism, extracts user intention labels from key barrages and generates vectors, and simultaneously obtains the historical behavior data of the sending user, integrates the intention label and vector with the current real-time scene data of the live broadcast room, and constructs a barrage vector; performs similarity calculation based on the live broadcast content and the user's historical behavior to obtain the first feedback content; generates the second feedback content based on the reinforcement learning sentiment analysis strategy and the user's preference memory; and embeds the second feedback content into the current live broadcast interface through the client. The present invention realizes real-time positive feedback and intelligent guidance of live broadcast barrage through interactive semantic matching.

The invention relates to the technical field of intravenous drug configuration teaching, in particular to a teaching system for intravenous drug configuration based on deep learning, which constructs a three-dimensional scene and collects operation data of a user in a virtual environment by acquiring live-action video data of intravenous drug configuration. Through semantic segmentation, an operation track is tracked in combination with a long and short-term memory network, a variable path matrix is generated, an operation score is generated by using a convolutional neural network, wrong operation is identified in time, and real-time feedback is provided. According to the method, training can be carried out only through a computer or VR equipment without depending on a large number of sites and equipment, students are helped to carry out timely correction in each step of operation through model evaluation and real-time feedback, and the operation accuracy and the learning effect are improved. Difficulty gradient adjustment is carried out in combination with scores, it is ensured that the training difficulty is matched with the skill level of students, personalized teaching is achieved, and the teaching effect is 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.

An AI-based acting and filmmaking and creative industry coaching system and associated mobile application is disclosed. The application is communicatively coupled to a server system which includes at least one AI-module for reviewing videos, audios, and other media uploaded by a user using the application. The system is adapted to provide feedback to a user based on review of the media and recommend different genres for improvement. The system provides VR videos based on uploaded scripts, data and videos for training. The application provides a plurality of tutorials for teaching every type of acting technique, filmmaking, scriptwriting, producing, directing, and more. The application functions as an artificial intelligence instructor that provides feedback on auditions and assignments the actor or creative industry user can submit through the application for review and feedback. The mobile application integrates AI and virtual reality to provide real-time feedback and instruction for filmmaking and creative industries.

A method and a system for automatic evaluation of online debate arguments are provided. The method includes: defining multiple persona knowledge dimensions; tailor-making a prompt template according to the defined persona knowledge dimensions to generate a persona knowledge eliciting prompt; inputting the persona knowledge eliciting prompt to a pretrained language model to elicit persona knowledge; associating the elicited persona knowledge and the context and argument in the prompt to construct a knowledge-aligned prompt; and utilizing the knowledge-aligned prompt to fine-tune a debate evaluation model to evaluate persuasiveness / impact of the online debate arguments. The present invention can be applied to digital platforms equipped with tools to facilitate virtual discussions, incorporating features such as real-time feedback, interactive interfaces, and enhanced accessibility options to improve the overall debate experience, expand the range of platform participants, and thus make debates easier to understand and more attractive.

The invention discloses an advertisement putting system and method based on an Android set top box, and relates to the technical field of smart televisions. Collecting data: collecting user watching behavior data by means of an Android set top box, and establishing an interest preference model: based on the collected behavior data, introducing a machine learning algorithm to construct the user interest preference model, and carrying out advertisement filtering: screening and filtering an advertisement resource pool according to the interest preference model, eliminating advertisements which are not interested in by the user, reducing the advertisement insertion frequency, and improving the advertisement insertion efficiency; according to an interest preference model, selecting advertisement categories according with user interests, determining advertisement putting opportunity and frequency in combination with the user watching rhythm, dynamically optimizing a putting strategy according to real-time feedback, and obtaining user feedback: establishing a convenient feedback channel, encouraging the user to feed back advertisement interaction, and improving user experience; feedback data is collected and analyzed, an advertisement putting strategy is continuously optimized according to the feedback data, and the satisfaction degree of the user and the advertiser is improved.

The invention relates to the technical field of billiard sports intellectualization, in particular to an AI intelligent identification-based billiard table sounding bag and billiard cue hitting sensing accurate feedback system, which comprises a billiard cue sensing device, a bag opening detection device, a central processing device, a feedback execution device and a network communication device, the club sensing device collects hitting force, club body stress distribution and club body posture data and transmits the data to the central processing device; the bag opening detection device collects billiard ball bag entering state, ball number color, ball hitting speed and ball entering position data through optical, acoustic and infrared detection and transmits the data to the central processing device. After receiving and processing the multi-source data, the central processing device generates sound, vibration, voice feedback and interactive guidance instructions and sends the instructions to the feedback execution device; by integrating AI intelligent identification and multi-sensor data acquisition and processing, precise judgment, real-time feedback, multi-dimensional data statistical analysis and remote competition watching of billiard falling bags are realized, and ball hitting experience, training efficiency and competition propagation capability are improved.

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 invention discloses a video game linkage method based on video feedback, a video server, a game server and a system. The method comprises the following steps: acquiring real-time feedback information of a video and storing the real-time feedback information in a feedback database; determining whether a preset game linkage condition is met or not according to the real-time feedback information stored in the feedback database; and if the preset game linkage condition is met, sending a game triggering notification to a game server, so that the game server determines game linkage content for linkage according to the game triggering notification. The real-time performance and group characteristics of feedback information sent when a user watches a video are utilized, linkage with a game is carried out, dynamic adjustment and issuing of game content are achieved, the viscidity and satisfaction degree of the user to the game and the video are improved, and deep fusion and innovative development of the video and the game industry are further promoted.

A real estate virtual showing management system manages virtual showings of listings. The system enables all parties to view the listing virtually. It does not allow a buyer to be visible to the seller side. It also does not allow a seller to be visible to the buyer side. Both the buyer and seller sides form independent confidential communication channels during the virtual showing while the agents are visible to all parties. The system further allows the listing agent to seek real-time feedback from the showing agent during the live virtual showing. In addition, the system provides confidential audio communication for the buyer side and the seller side independently. The system allows the parties to mute and unmute media from another party. The system also can auto-tag a property feature while it is being shown. The system further allows the listing agent to seek the buyer's engagement measurement data.

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.