5937 results about "Human–robot interaction" patented technology

The invention discloses a man-machine interaction method and system based on artificial intelligence. The method includes the following steps of receiving input information input by a user through an application terminal, obtaining the intent information of the user according to the input information of the user, distributing the input information to at least one interaction service subsystem according to the intent information, receiving the return result returned by the interaction service subsystems, generating a user return result according to the return result through a preset decision strategy, and providing the user return result to the user. By means of the method and system, the man-machine interaction system is virtualized instead of being instrumentalized, and the user can obtain the relaxed and pleasure interaction experience in the intelligent interaction process through chat, research and other service. The search in the form of keywords is improved into the search based on natural languages, the user can express demands through flexible and free natural languages, and the multi-round interaction process is closer to the interaction experience among humans.

A method of supporting mass human-interaction events, including: providing a mass interaction event by a computer network (100) in which a plurality of participants (102) interact with each other by generating information comprising of questions, responses to questions and fact information for presentation to other participants and assimilating information: and controlling, automatically by a computer (104) the rate of information presentation to each participant, to be below a maximum information assimilation rate of each participant.

The invention relates to a multifunctional remote fault diagnosis system for an electric control automobile. The multifunctional remote fault diagnosis system comprises a remote fault diagnosis service center, PC (Personal Computer) diagnosis client sides and a diagnosis communication device. The remote fault diagnosis service center serves as a key of the system and is mainly used for realizing an automobile fault diagnosis network management function and an automobile remote fault diagnosis assistance function; the PC diagnosis client sides are mainly used for providing specific automobile diagnosis application functions and remote diagnosis interfaces for users with different rights through human-computer interaction interfaces; and the diagnosis communication device is mainly used for realizing the data communication between the PC diagnosis client sides and a vehicle-mounted network and providing diagnosis data service for upper applications. By means of the multifunctional remote fault diagnosis system, with the remote fault diagnosis service center as a core and all PC diagnosis client sides as nodes, an automobile fault diagnosis network is established; automobile diagnosis data sharing is realized by means of the diagnosis communication device; multifunctional automobile remote fault assistance and fault elimination help can be provided; automobile fault information is subjected to statistic analysis; and a reliable automobile quality report is provided for an automobile manufacturer.

The invention relates to the technical field of application access and discloses a personal assistant application access method and system. The method comprises the following steps: receiving a voice signal input by a user; identifying command content and parameters in the voice signal; according to the command content, determining application which needs to access; and according to the parameters, operating the application. By utilizing the personal assistant application access method and system disclosed by the invention, the human-computer interaction efficiency can be improved.

The invention relates to a motion control method of a lower limb rehabilitative robot. In the method, aiming at different rehabilitation stages of a patient, two working modes of passive training and active training are carried out: under the mode of passive training, the patient is driven by controlling the robot to finish specific motions or motion according to a right physiological gait track; abnormal motions of the patient are completely restrained; and the patient passively follows the robot to do walking rehabilitation training; under the mode of active training, limited abnormal motions of the patient are restrained by the robot; through a real-time detection on joint driving forces generated when the patient acts on the robot in the motion process, human-computer interaction moment is extracted by utilizing an inverse dynamic model to judge the active motion intention of lower limbs of the patient; and the interaction moment is converted into correction value of gait track by utilizing an impedance controller to directly correct or generate the gait training track the patient expects through an adaptive controller, therefore, the purpose that the robot can provide auxiliary force and resistant force for the rehabilitation training can be indirectly realized. By means of the motion control method of the lower limb rehabilitative robot, rehabilitation training motions suitable for different rehabilitation stages can be provided for a dysbasia patient, thereby enhancing active participation degree of the rehabilitation training of the patient, building confidence of the rehabilitation and positivity of the motion, and then enhancing effect of the rehabilitation training.

The invention discloses a coiled tubing operation equipment simulator, which comprises a base, a seat which is arranged at the middle part of the rear end of the base, simulation control parts which are arranged on the two sides of the seat, a data acquisition module which is used for receiving control signals of the simulation control parts, a main scene display which is arranged at the front of the seat, an injection head scene display and a downhole scene display which are arranged on the two sides of the main scene display, a computer system which is connected with the displays and the data acquisition module and can display simulated scenes in the displays, a simulation instrument display which is connected with the computer system, and an input device which is used for man-machine interaction. The coiled tubing operation equipment simulator can simulate various operation scenes in the actual working process of coiled tubing operation equipment, realize various simulation operations on the coiled tubing operation equipment and reproduce the actual operation and working process of the real coiled tubing operation equipment.

Methods, systems, and apparatus, including medium-encoded computer program products, for providing an adaptive knowledge platform. In one or more aspects, a system can include a knowledge management component to acquire, classify and disseminate information of a dataset; a human-computer interaction component to visualize multiple perspectives of the dataset and to model user interactions with the multiple perspectives; and an adaptivity component to modify one or more of the multiple perspectives of the dataset based on a user-interaction model.

Visual tracking of multiple objects in a crowded scene is critical for many applications include surveillance, video conference and human computer interaction. Complex interactions between objects result in partial or significant occlusions, making tracking a highly challenging problem. Presented is a novel efficient approach to tracking a varying number of objects through occlusion. The object tracking during occlusion is posed as a track-based segmentation problem in the joint-object space. Appearance models are used to interpret the foreground into multiple layer probabilistic masks in a Bayesian framework. The search for optimal segmentation solution is achieved by a greedy searching algorithm and integral image for real-time computing. Promising results on several challenging video surveillance sequences have been demonstrated.

The invention provides a man-machine interactive system for an unmanned vehicle. The system comprises an information processing and planning module, a vehicle control module, a self-inspection module, an environment information acquisition module, a man-machine interactive module, a data storage module and a communication module. System operation manners are divided into the manual operation manner, the voice operation manner and the mobile phone APP control manner. The system is mainly operated according to the steps that firstly, according to the situation whether a user enters the vehicle or remotely controls the vehicle, a corresponding unlocking manner and the corresponding operation manner are adopted; secondly, the vehicle is started, the man-machine interactive system is activated, and vehicle self-inspection is performed; thirdly, after it is confirmed that the vehicle is free of faults, a destination is input, and a driving route is planned according to the actual condition; fourthly, the vehicle is driven according to a driving scheme; and fifthly, the vehicle state and the surroundings are monitored in real time, whether an accident occurs or not is judged, and the driving manner and the route are adjusted at any time according to the surrounding condition till the vehicle reaches the destination. The invention further provides a method that a standby computer takes charge when a central computer breaks down and other three accident handling methods.

The invention discloses a man-machine interactive system and a real-time gesture tracking processing method for the same. The method comprises the following steps of: obtaining image information of user side, executing gesture detection by a gesture detection unit to finish separation of a gesture and a background, and automatically determining a smaller rectangular frame which surrounds the hand as a region of interest in the image information through a vision algorithm; calculating the hand profile state of each frame in a video sequence by a gesture tracking unit; executing validity check on hand actions according to the calculated hand profile state, and determining the gesture action finished by the user; and generating a corresponding gesture action control instruction according to the determined gesture action, and making corresponding feedbacks by a three-dimensional user interface according to the gesture action control instruction. In the system and the method, all or part of gesture actions of the user are sensed so as to finish accurate tracking on the gesture, thus, a real-time robust solution is provided for an effective gesture man-machine interface port based on a common vision sensor.

The invention relates to the technical field of man-machine interaction and provides a man-machine interaction method based on sight judgment, to realize the operation on an electronic device by a user. The method comprises the following steps of: obtaining a facial image through a camera, carrying out human eye area detection on the image, and positioning a pupil center according to the detected human eye area; calculating a corresponding relationship between an image coordinate and an electronic device screen coordinate system; tracking the position of the pupil center, and calculating a view point coordinate of the human eye on an electronic device screen according to the corresponding relationship; and detecting an eye blinking action or an eye closure action, and issuing corresponding control orders to the electronic device according to the detected eye blinking action or the eye closure action. The invention further provides a man-machine interaction system based on sight judgment. With the adoption of the man-machine interaction method, the stable sight focus judgment on the electronic device is realized through the camera, and control orders are issued through eye blinking or eye closure, so that the operation on the electronic device by the user becomes simple and convenient.

The invention provides a non-contact free space eye-gaze tracking method suitable for man-machine interaction. The method comprises the steps of positioning and tracking a face and eyes in real time, extracting eye movement biological characteristic information, building an eye movement model based on the eye movement biological characteristic information, building a mapping relational model of the eye movement model and an eye-gazed object and the like. The non-contact free space eye-gaze tracking method suitable for the man-machine interaction relates to multiple crossed fields of image processing, computer vision, pattern recognition and the like and has wide application prospect in the fields of new-generation man-machine interaction, disabled people assisting, aerospace relating field, sports, automobile and airplane driving, virtual reality, games and the like. In addition, the method has great practical significance for improvement of the life and self-care level of disabled people, building of a harmonious society and improvement of independent innovative capability in the national high-and-new technical fields of the man-machine interaction, unmanned driving and the like.

The invention discloses a multifunctional composite rehabilitation system for a patient suffering from central nerve injury. The multifunctional composite rehabilitation system comprises a database module, a data managing module, a man-machine interaction module, a function evaluating module, a prescription generating and managing module, a calculating module, a system control module and a safety protecting module. By utilizing the artificial intelligence, the human motion intension can be predicted and recognized, the man-machine coordination control is realized, and the active type rehabilitation treatment of the patient is finished; through a multisource signal collection, signal fusion and real-time control technologies, every function is organically combined, the coordinative rehabilitation treatment of every function module is realized, the rehabilitation effect is effectively improved and the labor consumption is reduced; during the process of rehabilitation, the patient is guided to finish the rehabilitation treatment step by step by using the virtual reality technology; through the interaction among a doctor, the patient and a computer, a progressive composite rehabilitation strategy according with the disease condition of the patient is comprehensively determined, so that the patient suffering fromnerve injury can receive the most effective rehabilitation treatment within a gold rehabilitation period of 50 days, and therefore, the maximization of the functional rehabilitation is promoted.

The invention relates to the technical field of human-machine interaction and provides a human-machine interaction method and a human-machine interaction system based on binocular stereoscopic vision. The human-machine interaction method comprises the following steps: projecting a screen calibration image to a projection plane and acquiring the calibration image on the projection surface for system calibration; projecting an image and transmitting infrared light to the projection plane, wherein the infrared light forms a human hand outline infrared spot after meeting a human hand; acquiring an image with the human hand outline infrared spot on the projection plane and calculating a fingertip coordinate of the human hand according to the system calibration; and converting the fingertip coordinate into a screen coordinate according to the system calibration and executing the operation of a contact corresponding to the screen coordinate. According to the invention, the position and the coordinate of the fingertip are obtained by the system calibration and infrared detection; a user can carry out human-machine interaction more conveniently and quickly on the basis of touch operation of the finger on a general projection plane; no special panels and auxiliary positioning devices are needed on the projection plane; and the human-machine interaction device is simple in and convenient for mounting and using and lower in cost.

Provided are a mechanism and an interface for man-machine interaction, especially a mechanism and an interface for man-machine interaction applicable to multi-touch. A mode and a method for constructing a graphic interface in the environment of touching operation are provided, thus sufficiently using the advantages of multi-touch devices and inputting more plentiful operation instruction information through less operation. The solution mainly describes how to use multi-touch to provide more plentiful input information and how to express operation commands with more complex structures through less steps, and how to enable the interface to be more smart, to accord with ergonomic and to be more easy to use multiple parts of a hand to operate at the same time.

The invention provides distributed cognitive technology for an intelligent emotional robot, which can be applied in the field of multi-channel human-computer interaction in service robots, household robots, and the like. In a human-computer interaction process, the multi-channel cognition for the environment and people is distributed so that the interaction is more harmonious and natural. The distributed cognitive technology comprises four parts, namely 1) a language comprehension module which endows a robot with an ability of understanding human language after the steps of word division, word gender labeling, key word acquisition, and the like; 2) a vision comprehension module which comprises related vision functions such as face detection, feature extraction, feature identification, human behavior comprehension, and the like; 3) an emotion cognition module which extracts related information in language, expression and touch, analyzes user emotion contained in the information, synthesizes a comparatively accurate emotion state, and makes the intelligent emotional robot cognize the current emotion of a user; and 4) a physical quantity cognition module which makes the robot understand the environment and self state as the basis of self adjustment.

The invention discloses a material object programming method and a material object programming system, which belong to the field of human-machine interaction. The method comprises the following steps of: 1) establishing a set of material object programming display environment; 2) shooting the sequence of material object programming blocks which are placed by a user and uploading the shot image toa material object programming processing module by using an image acquisition unit; 3) converting the sequence of the material object blocks into a corresponding functional semantic sequence by usingthe material object programming processing module according to the computer vision identification modes and the position information of the material object programming blocks; 4) determining whether the current functional semantic sequence meets the grammatical and semantic rules of the material object display environment or not, and if the current functional semantic sequence does not meet the grammatical and semantic rules of the material object display environment, feeding back a corresponding error prompt; 5) replacing the corresponding material object programming blocks by using the useraccording to the prompt information; and 6) repeating the steps 2) to 5) until the functional semantic sequence corresponding to the sequence of the placed material object programming blocks meets the grammatical and semantic rules of the material object display environment, and finishing a programming task. By using the method and the system, the problem that children and green hands are difficult to learn programming is solved, and the system has low cost and is easy to popularize.

The invention discloses a video classification method based on a mixed convolution and attention mechanism, which solves the problems of complex calculation and low accuracy of the prior art. The method comprises the following steps of: selecting a video classification data set; Segmented sampling of input video; Preprocessing two video segments; Constructing hybrid convolution neural network model; The video mixed convolution feature map is obtained in the direction of temporal dimension. Video Attention Feature Map Obtained by Attention Mechanism Operation; Obtaining a video attention descriptor; Training the end-to-end entire video classification model; Test Video to be Categorized. The invention directly obtains mixed convolution characteristic maps for different video segments, Compared with the method of obtaining optical flow features, the method of obtaining optical flow features reduces the computational burden and improves the speed, introduces the attention mechanism betweendifferent video segments, describes the relationship between different video segments and improves the accuracy and robustness, and is used for video retrieval, video tagging, human-computer interaction, behavior recognition, event detection and anomaly detection.