79 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 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.

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.

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.

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.

The present invention relates to a digital audio anti-shake and anti-delay transmission audio amplifier, which is suitable for application scenarios such as live broadcast and musical instrument performance that require real-time feedback and have extremely high requirements for delay. An overclocking controller and an anti-shake processing module are provided. The overclocking controller obtains the delay change curve, performs time integration, and inputs the integration result D into the adjustment model. In the adjustment model, the overclocking frequency f corresponding to different D values is calculated; the overclocking controller obtains the overclocking frequency f and sends it to the DSP audio processing module. The DSP audio processing module operates according to the overclocking frequency f, thereby realizing the variable-frequency operation of the DSP audio processing module and reducing the delay transmission. The anti-shake processing module is used to generate an anti-shake anti-phase signal and output it to the output interface. The anti-shake anti-phase signal is superimposed on the signal output by the digital-to-analog conversion and amplification module, thereby realizing the anti-shake effect.

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.

The invention provides an audio interface dynamic display method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining various types of interface elements in an input interface of audio equipment; monitoring an input behavior executed by a user on the input interface of the audio equipment; predicting the operation intention of the user at the next moment according to the state of the audio equipment input interface at the current moment; and performing pre-display adjustment on the interface elements. According to the invention, the input interface of the audio equipment can be enabled to realize a dynamic display function based on real-time feedback.

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.