489 results about "Human computer dialogue" patented technology

The invention concerns a human-machine dialog system (1) comprising:a support (3) having a plurality of identical docking stations (30), each docking station (30) being associated with a universal human-machine dialog device (4), each universal human-machine dialog device (4) comprising at least a display member (41) and a sensor member (40),a plurality of modular members (2), each modular member (2) being arranged to be positioned in a docking station (30) in a removable and interchangeable manner and comprising a human-machine dialog interface (20) arranged to cooperate with said display member (41) and / or said sensor member (40).

Disclosed are systems, methods and computer-readable media for controlling a computing device to provide contextual responses to user inputs. The method comprises receiving a user input, generating a set of features characterizing an association between the user input and a conversation context based on at least a semantic and syntactic analysis of user inputs and system responses, determining with a data-driven machine learning approach whether the user input begins a new topic or is associated with a previous conversation context and if the received question is associated with the existing topic, then generating a response to the user input using information associated with the user input and any previous user input associated with the existing topic.

The invention discloses a man-machine conversation system applied to an advanced service robot. The man-machine conversation system is characterized in that a voice recognition module, a natural language understanding module, a background service processing module, a natural language generating module and a voice generating module are included and are respectively and independently connected with a conversation management module and used for bidirectional data transmission. The man-machine conversation system has the advantages that the advanced service robot can directly communicate with the human language, the influence caused by a traditional communication way on communication efficiency is avoided, the convenience of man-machine communication is greatly improved, and the aim that the service robot directly listens to human voice instructions is achieved.

The present invention provides an intelligent voice interactive system and interactive method, the system includes: a processor, a storage device, a voice processing unit, a voice input device, a voice output device, a communication processing unit; the processor, the storage device, the voice processing unit and the communication processing unit are set on the circuit board, the storage device, the voice processing unit and the communication processing unit are connected with the processor by the concentration line forming an embedded control board; the voice input device, the voice output device are connected with the voice processing unit of the embedded control board respectively; the communication processing unit is set with a communication interface used for connnecting with the computer of client end software for install custom. The system is used as a common intelligent interactive platform, and user can set different interactive scenes and content aware, having wide applications, such as man-machine interactive processing system, intelligent toy or service robot etc, having strong application, strong practicability, processing work without computer.

The invention discloses a voice interaction method. The voice interaction method comprises the steps that current voice information input by a user is sent to a voice recognition server and a character string obtained by the voice recognition server through conversion of the current voice information is received; whether the character string is in accord with a current conversation scene or not is judged according to key information words, extracted from context in the conversation process of a user and stored, of the current conversation scene; if the character string is in accord with the current conversation scene, the character string is matched according to preset matching rules and the key information words; the matched character string is sent to a semantic parsing server, and after an operation instruction returned by the semantic parsing server according to the character string is received, the operation instruction is executed and an answer is made to the user. The invention further discloses a corresponding system and an interaction terminal. By the adoption of the scheme, the sense of experience of man-machine conversation is improved, user-friendly service is provided for the user, and user-friendly man-machine interaction is realized.

The technical scheme relates to a device for calling a computer program to run by utilizing a Chinese text and belongs to the field of computer man-machine conversation automatic control technologies. The device for calling the computer program to run by utilizing the Chinese text comprises a Chinese text input module (1), a computer system (2), a Chinese text word segmentation module (3), a Chinese character and Chinese speech code conversion module (7), a computer program module (4) which is pre-stored in a computer and bound with input Chinese speech codes or keywords in Chinese characters, a program logic arranging and connecting module (5) which arranges bound programs according to a logic sequence of execution, and a program execution module (6) stored in the computer, and the above modules are sequentially connected in series according to an information processing sequence of the computer. By means of the device for calling the computer program to run by utilizing the Chinese text, a non-computer programmer can call the computer program to run by utilizing Chinese natural language.

The invention provides a Chinese speech remote control computer program operating device and belongs to the technical field of man-computer conversation automatic control. A remote control of the Chinese speech remote control computer program operating device comprises an input Chinese speech remote control device module 1, a Chinese speech recognition module 2, a network transmission module 3, a computer system 4, a computer program module 5 pre-stored in the computer system 4 and bound with input Chinese speech codes or keywords of Chinese characters, a module 6 for arranging and connecting bound programs according to an executed logic sequence and a program execution module 7 stored in the computer system 4, wherein the modules are sequentially connected in series according to a computer information processing sequence. After adopting the technical scheme, people can conveniently use Chinese speech to control specified computer program operation through various remote control devices in a non-field and non-real-time mode.

The invention relates to a method for changing a plane video to a stereoscopic video, based on real time human-computer conversation, which belongs to the multimedia technical field of computers. The method comprises that: a computer divides a whole video sequence into sub-sequences that have related contents; a user designates any frame of each sub-sequence as a key frame; the computer carries out wave-filtration to all plane video frames to enhance image edge information and sharpen the edge of the foreground objects of the video frame; foreground object segmentation is carried out to the key frames and non-key frames and profile curves and depth maps are extracted until depth map sequences corresponding to all the frames of the original plane video sequence are generated; the smoothed depth map sequences are utilized for rendering and generating multi-visual angle views corresponding to each moment, and the views are synthesized into stereoscopic video frames; the stereoscopic video frames of all the moments are composed into the stereoscopic video sequences. As the method is based on the real time human-computer conversation, the precise depth map of each frame can be obtained, thus well realizing the changing from the plane video to the stereoscopic video and finally obtaining the stereoscopic video with better effect.

A man-machine dialogue system employing an interactive computer system comprising an input device for receiving input from the user. An output device generating output to the user. There is provided an object system which is an information source or store, or a command and control device. The system has a dialogue manager, which orchestrates the dialogue between the object system and user dependent upon a dialogue specification. The specification employs a set of augmented transition networks (ATNs), through which are propagated one or more tokens, the token comprising a set of fields which together define the current state of belief of the dialogue controller, dependent upon the preceding user-system interchanges and information obtained from the object system.

The invention relates to the computer field, in particular to a method for translating natural languages into a computer language, a semantic analyzer and a human-machine conversation system. The method comprises the steps of inputting the natural languages into a computer; extracting grammatical items, logic connection words and logical semantics through the computer; translating the grammatical items, the logic connection words and the logical semantics into character string codes, instruction codes and binary codes respectively; splicing the codes into a computer-recognizable programmable language. The technical process is performed on the grammatical items according to a mapping and splicing method of a computer program, therefore, any natural language can be translated into the computer-recognizable programmable language, understanding on the natural languages of the computer can be achieved, the technological base is established for developing deep intelligent electronic products, and dialogue and conversation between human and machine can be achieved.

The invention discloses an intelligent dialogue method and apparatus which relate to the technical field of artificial intelligence and are invented for solving the problem that intelligent dialogue can be realized only by enabling a user to clearly ask a question. The method comprises the steps of searching for a preselected dialogue scene, wherein the dialogue scene comprises at least one topic corresponding to the dialogue scene; sending guide information corresponding to the topic to a client, so that the client can perform voice type question-asking according to the guide information; receiving reply information sent by the client; judging whether the reply information is in a preset range of the topic corresponding to the dialogue scene or not; if a judgment result is that the reply information is in the preset range, continuing to send the guide information to the client according to the topic corresponding to the reply information; and if the judgment result is that the reply information is not in the preset range, sending the guide information to the client according to a preset scene skip rule. The method and the apparatus are mainly applied to a man-machine dialogue process.

A speech-based processing system includes a database of PIM data of a user, a set of language models, a learning unit, a recognition server, and a speech application. The learning unit uses a language model learning algorithm to provide language models based on the PIM data. The recognition server recognizes an utterance of the user by using one of the language models. The speech application identifies and accesses a subset of the PIM data specified by the utterance by using the recognition result. The language model learning algorithm may use grammar induction and / or or may train statistical language models based on the PIM data. The language model learning algorithm may be applied to generate language models periodically or on-the-fly during a session with the user.

The invention provides a man-machine conversation reply generation method and a man-machine conversation reply generation device. The method comprises the steps of acquiring a user message in a man-machine conversation, generating a plurality of keywords for replying the user message, encoding the plurality of keywords by use of an encoder to obtain a first hidden state of the plurality of keywords; sequentially generating a plurality of second hidden states corresponding to text positions of the reply message by use of a decoder according to the first hidden state of the plurality of keywords; sampling according to each of the second hidden states to obtain vocabularies located on the text positions corresponding to the second hidden states; and generating a reply message according to thetext position where each vocabulary is located. According to the man-machine conversation reply generation method and the man-machine conversation reply generation device, the plurality of keywords are generated by acquisition of the user message, the keywords are encoded and decoded, the text vocabularies corresponding to the keywords are acquired through sampling to further generate the reply message, and the problems in the prior art that a specific template is depended on, the generated reply message is poor in applicability, correlation and diversity and the user demand cannot be satisfied are solved.

The invention discloses a man-machine interactive semantic analysis method and system. The method comprises the following steps of obtaining a training corpus, establishing an emotion function through the training corpus by training, and calculating a corresponding emotion value for an input sentence according to the emotion function; obtaining the sentence input by a user, inputting the sentence input by the user into the emotion function, and obtaining the emotion value relating to the sentence input by the user as a user emotion value; selecting a responding answer satisfying the user emotion value from multiple responding answers related with the sentence input by the user as a semantic analysis answer, and displaying the semantic analysis answer. According to the method and the system provided by the invention, the emotion function for calculating the emotion value is obtained through function training, so that the emotion value corresponding to the sentence input by the user can be calculated and the responding answer satisfying the user emotion value can be selected from the multiple responding answers related with the sentence input by the user as the semantic analysis answer. Therefore, the input of the user can be better answered.

The invention belongs to the field of computer vision and the field of man-machine interaction and provides a personal character and interpersonal relation identification-based man-machine interaction system and a work method. The system comprises a detection module, an information feature extraction module, an information feature integration module, a character and preference determining module, a relation determining module and a human-computer dialogue module, wherein the detection module is used for detecting pictures or videos, and real zones of human face and human body images can be obtained; the information feature extraction module is used for extracting human face and human body image features and analyzing human face characters and human body behaviors; the information feature integration module is used for combining human face and human body information output via a former module, and feature vectors for each person are formed; the character and preference determining module is used for analyzing personal characters and preference according to the input feature vectors; the relation determining module is used for determining relations between people in the images or the videos, and the human-computer dialogue module is used for choosing a topic for communication with a user according to the personal characters and preference and the relations among the people. The system is used for analyzing the personal characters and preferences of the people and the relations among the people in the pictures and the videos, and a suitable topic is chosen for taking initiative to communicate with the user; a human-machine interaction mode is enabled to be intelligent, natural and human-friendly.

The invention relates to a man-machine interactive system and a scheme which is composed of four parts: a man-machine interactive scheme (1) used for interacting medical information, a man-machine interactive hardware device (2) used for interacting medical information, a physical sign / symptom analysis software program (3), a medical information database and an inquire software program (4). The system can be assembled manufactured by using accessory random that is mass popularization manufactured in current social such as singlechip, computer, PDA, mobile phone and e-dictionary. The system realizes arranging inquire and multiple inquire to special information (the medical health type information having individuation requirement characteristic), provides target medical information service to broad masses of other specialty with culture standard more than middle. The system solves social requirement that ordinary masses obtains systematic and comprehensive medical health information guidance urgently who take medicine / health by experience at once because of lackness medical health information.

The invention discloses a natural language understanding method based on a pre-training model. The method comprises the following steps: establishing a pre-training model based on a bidirectional depth Transformer; carrying out word segmentation processing on the to-be-understood statement, and respectively adding special tags at the beginning and the end of the to-be-understood statement to obtain a text vector of the to-be-understood statement; taking the text vector of the to-be-understood statement as input, and calling the pre-training model to obtain a text semantic vector of the to-be-understood statement; performing intention recognition; and performing entity identification. According to the method, intentions can be accurately and comprehensively understood, entities can be recognized, and a solid foundation is provided for subsequent conversations. The quality and the user experience of the man-machine conversation system can be remarkably improved.

The invention relates to an alternate partial root-zone irrigation controller and an alternate partial root-zone irrigation system. The controller comprises signal acquisition modules, a signal conversion and data processing module and a parameter setup module, wherein the signal acquisition modules are disposed in irrigation gutters on two sides of crops and used for acquiring information of soil moisture, the signal conversion and data processing module is used for controlling gutter spaced alternate irrigation of the crops according to the information received by the signal acquisition modules, and the parameter setup module is used for setting parameters of the signal conversion and data processing module. The alternate partial root-zone irrigation controller is simple in structure, capable of automatically alternately irrigating the crops under full intelligent control by man-machine communication, signals from the sensors and drive of a single chip microcomputer. The alternate partial root-zone irrigation controller simple in structure is laborsaving, timesaving, cost-saving, convenient in operation and easy for large-scale popularization. In addition, traditional electromagnetic control valves are substituted by alternate irrigation valves, so that the alternate partial root-zone irrigation system is simple, cost-reducing and reliable in operation.

The invention provides a knowledge retrieving method of an artificial intelligence dialogue and a knowledge base automatic improving method. The knowledge retrieving method of the artificial intelligence dialogue comprises the steps of 1, obtaining a question statement of a user; 2, conducting semantic and intention analysis on the question statement to obtain a question identification; 3, according to the question identification, searching for a local answer in a local knowledge base; 4, obtaining the local answer, and fusing local question data and replying the local question data to the user; 5, when the local answer is not searched in the local knowledge base, according to the question identification, searching for a remote answer in a data source; 6, obtaining the remote answer, and fusing the remote answer and replying the remote answer to the user. According to the knowledge retrieving method of the artificial intelligence dialogue and the knowledge base automatic improving method, when the local knowledge base has no resource, the remote answer in the data source is searched for, and the occurrence that because entity coverage of a mapping knowledge domain is not sufficient, during a human-computer dialogue, a robot cannot give an answer is avoided.

The invention relates to an intelligent sorting method of a modular mechanical arm. The intelligent sorting method is characterized by including the following steps that: step 1, target detection and recognition are completed through a somatosensory sensor, the accurate spatial position information of objects in a scene is acquired, so that a 3D scene semantic map description file can be obtained; step 2, an intention is determined through man-machine dialogue, so that sorting rules can be obtained through inference; and step 3, a solution is received, the solution is programmed into robot instructions through natural language programming, and the instructions are analyzed, compiled and executed, and the mechanical arm is controlled to perform intelligent sorting. With the method provided by the invention adopted, control on the modular mechanical arm can be realized, and intelligent perception and recognition as well as man-machine dialogue and interaction are fused into a control system, so that an intelligent sorting task can be successfully completed, and the intelligence of the modular mechanical arm can be improved.

The invention provides a method and system for dynamically adjusting a dialogue strategy. The method includes the steps that a passive original dialogue strategy is obtained and used for giving a corresponding response to a dialogue input by a user during man-machine dialoguing; dialogue information input by the user at the present is obtained, and a dialogue situation and a user portrait at the present are obtained through a preset rule; an adjusting strategy is combined with a current dialogue situation, a new dialogue strategy is obtained by calculating and adjusting the passive original dialogue strategy and the user portrait, and active control over the progress and direction of the dialogue situation is achieved. According to the adjusting strategy and the current dialogue situation, the method dynamically adjusts the passive original dialogue strategy and the user portrait, a robot can actively draw forth a subject or guide a user to one subject during dialoguing according to the current dialogue situation, in this way, man-machine dialogue is more intelligent, and the degree of user experience is increased.

The invention relates to the technical field of artificial intelligence, and provides a ten-thousand-level intention classification method and device, a storage medium and electronic equipment. The ten-thousand-level intention classification method comprises the steps of obtaining a dialogue statement of at least one round of dialogue with a user; performing context analysis on the dialogue statement to complement the context information of the dialogue; performing semantic analysis on the dialogue statement to obtain a plurality of candidate intentions of the user; and based on the pluralityof candidate intentions and the complemented dialogue context information, determining a real intention of the user by utilizing an intention decision model constructed based on a reinforcement learning algorithm. The method is realized based on a brand-new three-layer man-machine conversation technology framework. According to the method, the plurality of candidate intentions are obtained throughsemantic analysis on a semantic understanding layer, complemented context information is obtained through context analysis on a logical reasoning layer, dynamic decision making is conducted on a decision judgment layer through an intention decision making model according to the candidate intentions and the complemented context information, and the accuracy of intention classification through themethod is high.

The invention relates to a high-intelligence general medical practice robot based on big data, which includes a mechanical head, a mechanical arm and a body. The mechanical head is equipped with a man-machine dialogue system and a video input and output system. There are a number of pressure sensors on the fingertips, and a deep learning system, a big data analysis system and a central processing unit are installed on the fuselage. The deep learning system includes a human-computer interaction interface, a data acquisition module, a data output module, and a TCM four-diagnosis information database. and disease reasoning module, the big data analysis system includes a reasoning machine, a rule base server, a case base server, a database server, and the central processing unit is connected with a controller; the present invention can integrate the "four diagnosis information" of traditional Chinese medicine and fully integrate traditional Chinese medicine, Knowledge of Western medicine, comprehensive and systematic analysis of patients' diseases, and scientific and reasonable treatment plans can effectively alleviate the problem of insufficient medical service supply in my country.

The invention is a design based on an intelligent design platform application system, belonging to the field of the application of the calculation analysis module of a power grid decision. The system adopts the hardware environment of a regional power grid dispatching decision support system, support platform software and data platform software, wherein the hardware part can be divided into computer network, data acquisition, real-time monitoring and control, historical data storage, network safety equipment, dispatcher workstation, maintenance workstation and the like, and the software of the system adopts a WINDOWS system, a database system Oracle, an advanced support platform and application software. Real-time data collected by a computer network and a data acquisition module is sent to a real-time monitoring and controlling module by being communicated with a communication server and is variedly processed and transformed; relevant parameters are stored in a historical data storage module; finally, a machine operating the advanced application software of an operation power grid serves as a terminal workstation which also doubles as a client; and a man-machine conversation window provides a handling means for operation personnel and dispatchers.

Method for managing mixed-initiative human-machine dialogues based on speech interaction exploiting the separation between a general dialogue knowledge, such as communicative acts, which can be used in multiple application domains, and particular linguistic knowledge, which are domain-specific parameters, to process the dialogue as a sequence of changes of status. Each status consist in a set of features linked both to the processed parameters and to the linguistic and pragmatic context, and describes a certain instant of the communicative situation between the user and the system so to discriminate it from other situations that are also only slightly different. The method employs three components. A first component which, given the various parameters of the domain, defines the parameters on which to intervene to modify the status with the intent of converging towards a situation in which all parameters are acquired with a certain value; in parallel, the component identifies the Communicative Act (CA) which applied to these parameters can make the status evolve in the required direction. A second component creates the sentences to be conveyed to user, whereby obtaining a Communicative Act by instancing said parameters. A third component analyses the user's reply to determine the new system status given the parameters that were provided by the user, their mutual coherence, the previous status of these parameters and other correlated parameters.

The invention discloses an audio frequency-based man-machine mixed interaction system, a voice recognition module and a semantic recognition module are interconnected and used for transmitting word information corresponding to voice, an exception handling module is connected with the voice recognition module and the semantic recognition module, the voice recognition module is used for transmitting the word information to the exception handling module, the semantic recognition module is used for transmitting semantic parsing results to the exception handling module, and the exception handling module and a voice synthesis module are interconnected and used for transmitting intervention information. The invention also discloses an audio frequency-based man-machine mixed interaction method, voice information is converted into the word information via the voice recognition module, the word information is output to a semantic recognition unit, a user aim and corresponding key information are extracted from the word information via the semantic recognition unit, and whether anomaly occurs during a current human computer dialogue is determined by the exception handling module according to the word information of the voice recognition module and semantic information of the semantic recognition module, and an information reply for the anomaly is given. The audio frequency-based man-machine mixed interaction system and method disclosed in a technical solution of the invention can provide unified human computer dialogue experience.

The invention discloses a psychological consultation and treating computer auxiliary system and method. the system includes: a counseling and treating module for providing the counseling and treating standardized flow path and the method for treating; a mental evaluating module for providing the mental evaluating amount list, receiving the data submitted by the visitor and grading in the counseling and treating process according to the flow path and method provided by the counseling and treating module, and outputting the evaluating result in the initialize format; a mental archive administration module for storing and managing the counseling and treating file and the mental evaluating file of the visitor and providing the enquire interface. The psychological consultation and treating computer auxiliary system introduces the electric high-tech to the psychological consultation and treatment, realizes the man-machine dialog in the psychological consultation and treatment process, and makes the common method in the counseling and treating more have the operability.

The invention provides an Internet of Things-oriented smart home service system, including an affair reminding module, an equipment management module, an equipment control module, a contextual model management module and a man-machine conversation service module which are connected with a central processing module. The equipment management module and the equipment control module are connected with smart home equipment through a wireless network. The Internet of Things-oriented smart home service system provided by the invention can use a smart phone or a tablet computer as an operating platform, performs unified control of networking smart home equipment through WiFi technology, can be connected with a home common sense database, and can interact with a user in a man-machine asking and answering mode; has contextual models, and can intelligently adjust and control a plurality of connecting devices in one time; and provides various intelligent presetting and adjustment functions according to specific functions and empirical data of the controlled devices, thereby achieving intelligent services.

The invention discloses a computer processing method for student exercise prescriptions. The computer processing method includes: establishing a students' physique evaluation index system, a students' physique diagnosis method and standard and an exercise prescription database; subjecting students' physique conditions to scientific evaluation and diagnosis; issuing personalized exercise prescriptions according to diagnosis results. Through man-machine diagnosis, background knowledge of different exercise schemes and exercise items can be introduced to students, so that the students can obtain theoretical support in exercise practice, and interest of the students in exercise is enhanced. The computer processing method is of great importance in aspects of carrying out in-depth sunshine sports, guiding the students to exercise scientifically and further promoting school sports work to be standardized and scientized.

The invention comprises a real-time traffic status speech query and broadcast method and system. The method includes the following steps that: traffic status query speech information is received in a vehicle; speech recognition is performed on the traffic status query speech information, and the traffic status query speech information is converted into query text information; semantic analysis is performed on the query text information, the semantic instruction of the query text information is determined; the semantic instruction is sent to a server; the server returns corresponding traffic status response text information according to the semantic instruction; and broadcasting is performed in the vehicle according to the traffic status response text information. With the method and system of the invention adopted, the potential safety hazards of traffic status query in a driving process can be eliminated; a user neither needs to look at a screen nor needs to perform manual operation, the user only needs to perform wake-up operation to carry out human-computer dialogue so as to query real-time traffic statuses, and therefore, more convenient and efficient services can be brought to the user.