227 results about "Action model" patented technology

The invention discloses a physical education assisting system and method based on human body posture recognition. The system comprises a depth shooting device, a standard action storage unit, a display terminal, an action comparison unit and a prompting device, wherein the depth shooting device is used for obtaining user action depth image sequences comprising movement action of a user following the demonstration action; the standard action storage unit is used for storing a standard action model and standard action demonstration image sequences corresponding to the standard action model; the display terminal is used for displaying the standard action demonstration image sequences for the user; the action comparison unit is used for comparing the user action depth image sequence at a scheduled time point or time period with the standard action model at the corresponding time point or the time period, and obtaining the difference between the user action and the standard action model; the prompting device is used for outputting action evaluation information or action correction prompting information to a display device according to the difference. According to the physical education assisting system and method, the user does not need to wear a special recognition device, the manufacturing cost of the system is lowered, and the user experience is improved.

Embodiments of a dialog system employing a discriminative action selection solution based on a trainable machine action model. The discriminative machine action selection solution includes a training stage that builds the discriminative model-based policy and a decoding stage that uses the discriminative model-based policy to predict the machine action that best matches the dialog state. Data from an existing dialog session is annotated with a dialog state and an action assigned to the dialog state. The labeled data is used to train the discriminative model-based policy. The discriminative model-based policy becomes the policy for the dialog system used to select the machine action for a given dialog state.

The invention discloses a travelling robot positioning system based on a single camera. In the system, a point model is adopted for representing an environmental model, an off-line map is calibrated, an action model and an observation model are established for carrying out position updating and road sign calibration, Monte Carto particle filter technology is adopted, particle swarm distribution with weights is adopted for representing robot pose estimation, the weights and the distribution of particles are updated through road sign matching processing, field particle distribution is rasterized, and a sub-region with maximal particle density is selected for positioning the robot. As an independent platform, the system greatly improves the map calibration technology on the environmental model, has great flexibility on the identification of ground line sections, and just needs re-calibration but not needs model re-establishment after environment change. The model reduces the matching complexity in visual processing and improves calculation efficiency. The Monte Carlo localization algorithm is expanded on the information integration processing technology, thus ensuring the real-time property and robustness of the system.

The invention provides a system for adjusting the amount of data bandwidth provided to a mobile device comprising a bandwidth adjustment facilitator arranged to receive a request from the mobile device for adjusting the amount of data bandwidth; a bandwidth throttler in communication with the bandwidth adjustment facilitator; the bandwidth throttler adapted to cap or allocate excess available data bandwidth to the mobile device; wherein on receipt of the request, the bandwidth adjustment facilitator process the request and if the request is successfully processed, adjusts the data bandwidth provided to the mobile device via the bandwidth throttler. The system may further be adapted for billing/charging based on either pay-per-specified-time model or pay per action model.

The invention is conveniently suited for use in telecommunications system and does not require modifications to be made to existing telecommunications system.

The invention relates to a shooting action training method. The shooting action training method comprises the following steps: obtaining the shooting association data of a shooting action and a basketball moving state as well as shooting average by combining the basketball moving state information which is fed back by a basketball, the shooting actions of arms which are fed back by arm sleeves when the basketball is shot, and the shooting average which is fed back by a basket; comparing the shooting association data with a preset shooting action model which serves as a training standard, and finding and feeding back the difference between the shooting association data and the shooting action model to obtain training data, wherein the basketball moving state information comprises shooting trajectory, flying speed, rotating speed, and shooting angle; the shooting action comprises muscle power strength, power generating order, the postures of arms and fingers, and the action trajectory of the arms. The method is used for analyzing the coherent postures and muscle effectiveness of a basketball player in a shooting practice exercise, and giving posture correction and muscle power generation suggestions.

The invention relates to a hand action identification method and apparatus, a computer device and a readable storage medium. The hand action identification method comprises the following steps of collecting an image of a to-be-identified object through an image collection apparatus, and inputting the image of the to-be-identified object to an initial human body model to obtain pose information ofthe to-be-identified object; selecting position information of wrist joints from the pose information, and according to the position information of the wrist joints, obtaining a hand region image; andinputting the hand region image to a preset hand action model to obtain a first hand action of the to-be-identified object. According to the method, an overall pose of an identified person is identified firstly and then a hand is located; and when multiple to-be-identified objects exist in an identification region and are mutually shielded, the hand positions can be judged according to the posesof the to-be-identified objects, so that the hand action identification accuracy is improved.

Systems and methods are provided for a computer-implemented method of providing an interactive avatar that reacts to a communication from a communicating party. Data from an avatar characteristic table is provided to an avatar action model, where the avatar characteristic table is a data structure stored on a computer-readable medium that includes values for a plurality of avatar personality characteristics. A communication with the avatar is received from the communicating party. A next state for the avatar is determined using the avatar action model, where the avatar action model determines the next state based on the data from the avatar characteristic table, a current state for the avatar, and the communication. The next state for the avatar is implemented, and the avatar characteristic table is updated based on the communication from the communicating party, where a subsequent state for the avatar is determined based on the updated avatar characteristic table.

The invention discloses a flood model building and dynamic displaying method based on BIM and a three-dimensional live-action model. A three-dimensional design platform, a geographic information platform, a hydrodynamic modeling platform and a three-dimensional live-action modeling platform are subjected to cross-platform technological fusion, the three-dimensional live-action model is applied tobuild a high-precision flood model, and three-dimensional dynamic displaying is performed. The method includes: 1, producing the three-dimensional live-action model, a DEM and an orthoimage; 2, building a flood analysis model and calculating; 3, exporting and converting a flood calculation result; 4, integrating the live-action model, a BIM design model and the flood calculation result; 5, three-dimensionally and dynamically displaying a flood result. Cross-platform technological fusion is performed on the three-dimensional design platform, the geographic information platform, the hydrodynamicmodeling platform and a three-dimensional visual rendering platform, the flood model is built on the basis of live-action model data generated by inclined photographing of an unmanned aerial vehicleand overlaid with the live-action model for three-dimensional dynamic display of flood, so that accuracy of the flood model is improved substantially.

Embodiments of techniques or systems for usage modeling or gesture based authentication are provided herein. Actions of a user may be captured, classified, and utilized to generate an authentication scheme for a device based on gesture recognition, gesture analysis, or action analysis. Training data may be determined based on actions deemed to be training actions and one or more action models may be generated based on the training data. An action model may be indicative of how a user performs a particular or predetermined action. When a security mode is enabled, usage actions may be recorded and usage data may be extracted or determined based on the usage actions. A usage action may be identified and corresponding usage data may be compared with training data from an appropriate action model. An identity of a user associated with the usage action may be determined based on this comparison.

The invention discloses an intelligent wrist watch capable of automatically rotating interface along with gesture and a control method thereof. The method comprises the following steps: A, obtaining the movement data of an intelligent wrist watch through a sensor arranged in the intelligent wrist watch, and pre-processing the movement data; B, performing data mining operation on the pre-processed movement data and establishing an action model, identifying and outputting the rotating angle of the intelligent wrist watch; C, correspondingly rotating a graphical interface according to the output rotating angle by an upper layer. The sensor arranged in the intelligent wrist watch is adopted for obtaining the movement data change information of the intelligent wrist watch; a bottom layer is adopted for driving and algorithm processing for outputting the rotating angle, and the upper layer APP is used for rotating the graphical interface according to the selected angle.

The invention discloses a wireless multimedia sensor network design method driven by a subjective interest model, is mainly used for the design and application of a wireless multimedia sensor network and pertains to the cross filed of distributed computing and network communication techniques. The method of the invention designs a network intelligent model according to an action model abstracted from the action characteristics of biocenosis in the nature, can be applied to the design of the multimedia sensor network triggered by multiple events and is characterized by reasonably utilizing and distributing recourses in distributed computing and obtaining effective data of event information sources at a relatively low cost and relatively low time delay, carrying out activity cooperation with other crunodes through an interest degree measurement method and being conducive to centralizing network resources to do an in-depth reporting on an interest event source, effectively carrying out data fusion and abandoning redundant data, carrying out natural evolution towards the network, forming a friend circle facing the event and optimizing the structure of the network.

The invention discloses an interactive physical education teaching auxiliary system and method based on human body posture recognition. The system comprises a depth camera device, which is used for acquiring a user action depth image sequence and a standard action depth image sequence; a conventional camera device for acquiring a standard motion demonstration image sequence; A standard movement training unit for establishing a standard movement model; a standard action storage unit for storing a standard action model and a standard action demonstration image sequence; a display terminal for displaying a standard action demonstration image sequence to a user; An action comparison unit configured to compare a user action depth image sequence at a predetermined time point or time period witha standard action model at a corresponding time point or time period, and obtain a difference between the user action and the standard action model; a presentation means for outputting action evaluation or action correction presentation information to the display means according to the difference. The invention does not require a user to wear a special identification device, and the system manufacturing cost is reduced and the user experience is improved.

A system and method for provisioning Internet access to a computing device comprising an Internet access adjustment facilitator arranged to receive a request from the computing device for adjusting Internet access from a paid Internet access mode to a toll-free Internet access mode; and a whitelist in communication with the Internet access adjustment facilitator, the whitelist maintaining a list of web resources available for toll free access by the computing device; wherein upon successful processing of the request, the list of web resources are toll free for access by the computing device. The system may further be adapted for billing/charging based on either pay-per-specified-time model or pay per action model.

The invention discloses an Event-Action conflict resolution method and an Event-Action conflict resolution device. The method comprises the following steps: when an Event is triggered, determining an Action matched with the Event; acquiring the type of a currently-executed conflict operation which corresponds to the Action, wherein types of the conflict operation comprise manual trigger and Event trigger; and executing the Action by use of different modes based on different types. According to the method and the device, the problem that poor user experience is caused by the Event-Action conflict operation in the prior art is solved, near or reverse Action conflict caused by different Events in an Event-Action model is avoided, and the intelligence of a household appliance is improved, and the user experience is improved and furthermore the equipment operation is safer.

The invention discloses a case-related news viewpoint sentence sentiment classification method based on a CNN-BiLSTM + action model. The model comprises a word embedding layer, a convolution layer, apooling layer, a BiLSTM layer, an Attention attention layer and a Softmax classification layer. The method comprises the following steps: step 1, preprocessing viewpoint sentences of case-related news, and then encoding all words into word vectors through a word embedding layer; 2, inputting the word vector obtained in the step 1 into a convolution layer, and carrying out convolution operation; 3,the feature vectors obtained after convolution are input into a pooling layer to be subjected to maximum pooling operation; 4, inputting the feature vector obtained after the maximum pooling into a BiLSTM layer; step 5, performing Attention operation on each hidden state vector obtained by the BiLSTM layer; and step 6, classifying the output obtained by the Attention operation through a softmax classification layer to obtain a target emotion category probability. According to the method, complex feature engineering and redundant manual work can be effectively solved, and the workload and complexity can be reduced to a great extent.

Disclosed is an operating environment system and method for an improved efficiency of a workflow executed on a computer by a user, the method being allowed to be executed on the operating environment system, comprising a plurality of soft applications and an integrated operating environment, comprising an action model module described in a data structure form, a plug-in component module monitoring the user's operating status and intercepting and transmitting an issued instruction, a command center module interpreting the possible action in response to the instruction based on the data structure and a service module directed by the command center module to execute the possible action.

The invention discloses an intelligent mirror design method based on automatic image recognition and action model comparison, belonging to the technical field of image recognition. The design method collects human body images through a Kinect sensor; Acquiring a human skeleton image according to the human body image; Human skeleton points are recognized according to human skeleton images. According to the skeleton point, calculate the skeleton angle, establish the actual movement model; Comparing the actual action model with the initialized standard action, the action fitting percentage is obtained. Actual actions and standard actions are displayed on the display screen and prompted in voice, text or image form. The intelligent mirror provided by the invention has the advantages of timelyand accurate feedback, and provides various prompt information such as voice and image.

The method includes following steps: (1) recording request of accessing file resources generated in computer system in real time; (2) carrying out pretreatment for the recorded requests; (3) using relation tree of file access records relation of file access described in access records of normal files; (4) relation tree of file access is divided into two parts of fixed part and variation part based on rarity of time t-Rarity; (5) analyzing records of file access, and selecting normal actions of file access, and reporting abnormal actions of file access to safety officer; (6) updating relation tree of file access periodically, and deleting out outdated relation of file access recorded in relation tree of file access. Mechanisms of selective self-learning and self-adapting forgetting are adopted in the invention. Thus, safe and reliable normal action model is built automatically without manual intervention. The invention detects lots of malicious acts with high precision.

The invention discloses a multi-target behavior action recognition and prediction method. The method comprises the following steps: firstly, establishing a behavior action model according to characteristic data information of an individual or an individual animal, sensor data collected by various portable monitoring devices carried by the individual or the individual animal and behavior action information of the individual or the individual animal; processing the sensor data or the action flow data of the individual or the individual animal in a preset time period to generate a data fragment graph; and calculating the data fragment graph by using the corresponding behavior action model to realize recognition of behavior actions of individuals or individual animals within a preset time and/or prediction of behavior actions after a preset time period. The method can achieve the recognition or prediction of various types of behavior actions, and provides an intelligent recognition, prediction and recording method for daily life behavior activities for individuals or individual animals. The invention further discloses electronic equipment and a storage medium.

A flexible part orientation acquiring method under attitude orbit control maneuvering action includes: performing structural finite element modeling on a reflective plane antenna to build a satellite rigid-flexible coupling dynamics model, and acquiring a vibration mode vector of the reflective plane antenna; building a satellite attitude control action model, and enable the same and the satellite rigid-flexible coupling dynamics model to form a satellite dynamics model; establishing an expression formula of antenna radiation field intensity under antenna vibration mode space, and building a whole satellite system on-orbit state dynamics-attitude control-antenna radiation comprehensive model; simulating according to satellite on-orbit working excitation data to acquire time change mode coordinates of antenna vibration, substituting the time change mode coordinates into the radiation field mode space expression formula, and acquiring dynamic influence change of on-orbit working mode on antenna radiation field intensity.