47 results about "Behavioural state" patented technology

System for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, a device for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and / or behavioural state of the operator.

An environmental control system according to the present invention is a system for controlling environmental devices by which a work status and a behavior status are monitored and the environmental devices are finely controlled in accordance with the statuses to improve comfort. The environmental control system includes a communication unit, a unit for detecting environments, a unit for detecting a work status, a unit for obtaining power consumption, a unit for determining the control of a device, and a unit for transmitting a control signal, and enables fine control in accordance with a work type.

The present invention is a method and system for automatically recognizing which products a shopper intends to find or purchase based on the shopper's trajectory in a retail aisle. First, the system detects and tracks the person to generate the trajectory of the shopper. Then some of the dynamic features are extracted from the shopper trajectory. The shopper trajectory features of a given trajectory are typically the positions, the motion orientations, and speeds at each point of the trajectory. A shopper behavior model is designed based on some of the primitive actions of shoppers. The last step of the method is to analyze a given shopper trajectory to estimate the shopper's intention. The step either utilizes decision rules based on the extracted shopper trajectory features, or utilizes a trained Hidden Markov Model, to estimate the progression of the primitive actions from the trajectory. The decoded progression of the shopper behavior states is then interpreted to finally determine the shopper's intention.

The invention discloses a data processing method. The data processing method comprises the steps of obtaining user video information which is image information or the combination of the image information and voice information, judging whether the video information includes the behavior state information of a user or not, extracting the behavior state information if the video information includes the behavior state information, obtaining auxiliary information corresponding to the behavior state information, and sending the information. Based on the data processing method, in the process that video communication is carried out by the user, the user can achieve face-to-face communication, the auxiliary information corresponding to the behavior state information can also be obtained when the user carries out preset behavior state information, the auxiliary information and the video information are synthesized to be sent to other side of the video communication, the functions of the video communication process are enriched, the enjoyment of the video communication process is improved, and therefore user experience is improved. The invention further discloses a microprocessor using the data processing method, a communication terminal and a server.

The invention discloses a driver behavior detection system based on embedded image processing. The driver behavior detection system comprises a main control module, an information transmission module, a function module, and an alarming module. The information transmission module comprises an image video transmission unit and a driving behavior state signal transmission unit. The function module comprises an image preprocessing unit, an image video storage unit, a fatigue driving detection unit, a blind sight driving detection unit, and an illegal driving detection unit. The function module is used for processing and analysis of images and videos, and is used to generate a driving behavior state signal. The alarming module is used to analyze the driving behavior state signal for danger level evaluation, and is used to determine whether an alarming device is switched on, and is used to select an alarming level according to an analysis result. The driver behavior detection system is advantageous in that the various behaviors and the various states of the drivers are detected, and then a detection range is wide, and applicability is strong; the drivers are effectively notified of the bad driving behaviors and the driving states, and then car accidents are effectively reduced.

The invention discloses a coal mine accident simulating method and system based on a multi-intelligent agent. The method comprises the following steps: constructing an intelligent agent entity and a virtual simulating environment; selecting a preset model and preset knowledge to perform intelligent agent model computation to form a model computation result; performing the intelligent agent entity action computation and selecting the intelligent agent entity behavior; using the intelligent agent action experience learning rule to perform the intelligent agent entity behavior configuration, executing the intelligent agent entity behavior, updating the environment variable of the virtual simulating environment, and updating the current virtual simulating environment by a simulating scene constructing module based on the intelligent agent behavior state information and the updated environment variable; and updating a behavior selection parameter, and using the updated behavior selection parameter to perform the intelligent agent entity behavior computation at the next moment. The method and system provided by the invention can be used for imitating coal mine accidents in various environments so as to provide abundant information for immediately discovering the coal mine accident potential.

The invention discloses a multi-vehicle driving behavior analysis and danger early warning method and system. The method includes the steps that firstly, a driving behavior state analysis device in avehicle obtains driver control and vehicle state feature information in a period of time through vehicle-mounted and in-vehicle sensor systems, inputs the feature information into a trained neural-network-based driving behavior model and determines the corresponding driving behavior class; a vehicle-mounted wireless transmission device transmits related vehicle information and driving behavior type information to a roadside multi-vehicle danger prediction device to calculate the danger probability, converts the danger probability into image and sound danger prompt information and sends the image and sound danger prompt information to related vehicles. By means of the multi-vehicle driving behavior analysis and danger prediction method and system, the driving conditions of multiple vehicleswhich may cause danger can be effectively monitored and mastered, the waste of resources is reduced, and the driving safety and danger prediction efficiency are improved.

The invention discloses a scene abnormal state identification method and system and an intelligent terminal, and the method comprises the steps of collecting the human body biological posture information in a preset scene image so as to obtain the image information of all collected human body targets in the preset scene image; in a preset time period, tracking and recording the position information and the posture information of each collected human body target under a plurality of time nodes, and respectively storing each time node and the position information and the posture information of each collected human body target; based on the posture information of each collected human body target at each time node, estimating and outputting an action change track of the collected human body target within the preset time period; and according to the output action change track, obtaining a behavior state which is about to be made by the collected human body target, and outputting a responsestrategy according to whether the estimated behavior state is abnormal or not. The method, the system and the intelligent terminal are suitable for the scene monitoring when an area is small or many object targets exist, the identification precision is higher, and the identification speed is faster.

An embodiment of the invention discloses a multimedia data processing method and a multimedia data processing device. The multimedia data processing method includes the steps of receiving an editing instruction of existing picture data from a user, extracting a target object picture from the existing picture data according to the editing instruction, and scanning picture characteristics of the target object picture; determining state information corresponding to the existing picture data in accordance with the picture characteristics, wherein the state information includes facial expression state information and behavior state information; screening text information matching with the facial expression state information and the behavior state information and subjecting the text information and the existing picture data to data fusion to generate fusion picture data containing the text information. The multimedia data processing method and the multimedia data processing device are capable of providing users with a method capable of matching characters with pictures quickly during multimedia data production, so that display effects of facial expression pictures are enriched and labor cost is reduced.

The invention discloses a method for interactive influence of characters in real world and virtual world. The method comprises the following steps of: (1) acquiring various information of a user in the real world by using a sensor; (2) deducing a user behavior state by using a machine learning method according to various acquired sensor data; (3) comparing the user behavior state with a pre-established user behavior state learning library to obtain character state parameters of the user; (4) setting parameters corresponding to the same state of the user in the real world and the virtual world according to a statistical result to establish functional relation between the two parameters; (5) obtaining the character state parameter of the virtual world through the functional relation and according to the character state parameter obtained in the step 3; and (6) adjusting the state of the character in a virtual game according to the character state parameter of the virtual world.

The invention provides a driving behavior identification method based on an intelligent on-vehicle terminal. The driving behavior identification method comprises the following steps of S101, setting a driving behavior, and decomposing the driving behavior into a plurality of driving modes; S102, calculating a corresponding driving behavior identification mode according to driving information which is involved in each driving mode; S103, acquiring the driving information of the vehicle in driving by means of the intelligent on-vehicle terminal GID; and S104, introducing acquired driving information into the driving behavior identification mode of each driving mode, thereby determining the driving mode of the vehicle. The driving behavior identification method performs functions realizing quantitative analysis on the driving behavior, identifying the driving behavior state, and supplying theoretical basis for related industries of Internet-of-vehicles, insurance, etc.

The invention discloses a driving behavior state-based forward collision early warning method. The method specifically comprises the following steps that: S1, the driving behavior state parameters andvehicle motion parameters of a running vehicle are collected; S2, the actual response time of a driver in the running vehicle is acquired through a driver response characteristic calibration function; S3, a safety distance between the running vehicle and a target vehicle is determined according to a kinematics formula and the vehicle motion parameters; and S4, the safety condition of the runningvehicle is judged on the basis of the safety distance between the running vehicle and the target vehicle, and early warning is conducted according to the safety condition of the running vehicle. According to the method, with factors such as the dynamic characteristic of a driving state and a driving environment comprehensively considered, the response time of the driver is corrected, and therefore, the real-time performance of the response time is guaranteed; and a safety distance threshold value can be dynamically adjusted, and therefore, a vehicle distance model has good adaptability, and the accuracy of a forward collision early warning system is improved.

The present invention discloses an electrical equipment control method. The method comprises the steps of receiving the user state information sent by an intelligent bracelet bound to a control device, wherein the user state information contains user data obtained through monitoring the user behavior state by the intelligent bracelet; according to the user state information, searching a working state corresponding to the user state information in a preset state mapping table, wherein the preset state mapping table contains a plurality of mapping relationships between the user state information and the working state of electrical equipment; sending a control instruction to the electrical equipment bound to the control device so as to switch the electrical equipment to run in the searched working state according to the control instruction. The invention also discloses an electrical equipment control device. According to the embodiments of the invention, the electrical equipment is capable of automatically switching the working state thereof according to the user state information. Therefore, the electric energy is saved.

The invention relates to the automatic control technology and especially relates to a household intelligent service method based on a wireless sensor, and is to solve the problem that user demand cannot be met due to deficiency of combination of existing wireless sensors and smart home service. The provided household intelligent service method based on the wireless sensor comprises the following steps: deploying wireless sensor nodes indoors and carrying out detection on living habits of users and generating a user personalized customization list; the sensor collecting scene information of the users in real time, and searching the collected user scene information in the user personalized customization list; and if existing customization information corresponding to the user scene information, carrying out optimal sequencing on a recommend service list in the customization information to obtain the optimum service, and controlling equipment corresponding to the optimum service to carry out corresponding operation, the user scene information being the current living state of the user and / or the current behavior state of the user. The method is suitable for household intelligent service.

A Computer Implemented Intelligent Agent System, Method and Game System are disclosed. Intelligent agent systems are configured to have a long-term and a short term memory in a data repository. The data repository encodes data on a plurality of behavioural attributes for the intelligent agent, each of the plurality of behavioural attributes comprising a value within a predetermined range, the relative position of the value in the range defining the relative behavioural state of the intelligent agent. A processor is configured to execute computer program code to execute an artificial intelligence module, including computer program code configured to receive an input, computer program code configured to access the data repository in dependence on the input to obtain a state of the intelligent agent with respect to the input and, computer program code configured to process the input in dependence on the obtained state and determine an output.

The invention provides a Nounou intelligent monitoring system used for aged healthcare accompanying. The system comprises an intelligent monitoring apparatus, a sensing apparatus, an information processing apparatus, an information receiving apparatus, an information transmission apparatus and an information storage apparatus. The intelligent monitoring apparatus comprises a main body and a base capable of rotating relative to the main body; the main body comprises a main processing board, a display, a touch panel, touch keys and an audio-video sensing element, and can be equipped with a wearable detection or sensing element. The intelligent monitoring apparatus can perform information fusion and information splitting processing through the information processing apparatus, and perform intelligent deep learning on a behavior state of a monitored person through a neural network. The intelligent monitoring system not only can effectively monitor the body and mind state of the monitored old person but also can further provide real-time accompanying communication with the old person, communication with related personnel or facilities and timely suggestions and help for the monitored person.

Embodiments of the invention provide a behavior detection device and method, and relate to the field of wireless signal processing. The device comprises a communication module and a processor. The communication module comprises a receiving unit, a transmitting unit and a processing unit. The transmitting unit is used for transmitting a wireless electromagnetic wave; the receiving unit is used forreceiving a reflected wave of the wireless electromagnetic wave; and the processing unit is used for carrying out frequency mixing processing on the wireless electromagnetic wave and the reflected wave to generate an intermediate frequency signal. The processor is used for processing the intermediate frequency signal to obtain behavior state information of a target object in a room. The wireless electromagnetic wave is transmitted and received through the communication module; the transmitted and received wireless electromagnetic wave is subjected to frequency mixing processing to obtain the intermediate frequency signal; and the intermediate frequency signal and the transmitted and received wireless electromagnetic wave are analyzed to obtain the behavior state information of the target object. The device also can be used in a dark environment or an environment with poor light without enabling the target object to wear an instrument, so that the practicality is higher.

A system for monitoring displacement of an inclined plane, which is capable of monitoring behavior of the inclined plane in real time at a remote location through a plurality of measurement devices arranged in the longitudinal direction at the inclined plane. The system comprises a plurality of measurement devices for measuring ground data required to predict collapse possibility of an inclined plane, a plurality of data acquisition apparatuses in communication with the measurement devices for calculating behavior data at positions at which the measurement device are installed, using the ground data received from the measurement device, and a field management apparatus for analyzing and storing the behavior data received from the plurality of data acquisition apparatuses at remote locations, and managing the behavior state of the inclined plane based on a result of the analysis.

The invention discloses a classroom teacher behavior obtaining method and device based on video analysis and a medium, and relates to the technical field of intelligent teaching, and the method comprises the steps: extracting a frame of image in a video stream, and further extracting a region of interest from the image; Carrying out teacher target detection on the image extracted from the region of interest to obtain a teacher target region; Determining a teacher behavior state according to the position of the center point of the teacher target area; Returning to the execution step to count teacher behaviors in class time; The method is based on a classroom recording and playing system. an intelligent analysis function is added to the class video of the teacher; According to the system andthe method, the class behavior information of teachers can be detected, the behavior states of walking teaching, standing teaching, platform leaving teaching, platform entering teaching and the likeof the teachers can be analyzed, the states are counted and analyzed, and the class characteristics of the teachers are mined, so that the teachers can objectively and self-know the class conditions of themselves, and the teaching quality is improved.

The embodiment of the application discloses an adjustment method of an intelligent lifting table, a device, a storage medium and an intelligent lifting table. The method comprises the following steps:when the start instruction of the intelligent lifting table is detected, the behavior state of the user and the current environment state are obtained; Determining a to-be-operated mode of the intelligent lifting table according to the behavior state of the user and the current environmental state; Determining a target state attribute value corresponding to the to-be-run mode, wherein the state attribute comprises at least one of a tabletop height, a hardware layout mode and a camera state; The intelligent lifting table is controlled to be adjusted to the waiting operation mode according to the target state attribute value. The technical proposal provided by the embodiment of the application can adaptively adjust the intelligent lifting table to an operation mode according to the real-time situation of the current user and the environment, and the intelligent lifting table does not need manual operation and adjustment by the user, thereby improving the intelligence, the interest and the user adhesion of the intelligent lifting table.

The invention provides a heart rate and behavior state monitoring bracelet. An instrument panel comprises a micro vibrator, an audio player and a heart rate meter. The heart rate meter is arranged on a contact surface between the reverse side of the instrument panel and the skin, and transmits data to a smartphone thorough a Bluetooth module. The heart rate meter comprises a green-light diode, a photosensitive device and a DSP (digital signal processor). The green-light diode is arranged on the lower surface of a shell of the instrument panel. The photosensitive device receives reflected light. The DSP detects frequency of electric signals output by the photosensitive device. A GPRS (general packet radio service) module transmits heart rate detection signals output by the DSP to a fixed-point cellphone side, receives request signals of the fixed-point cellphone side and gives prompts through the micro vibrator and the audio player. A normality button and an emergency warning button are arranged on the instrument panel. Corresponding button operations are sent to the fixed-point cellphone side by the GPRS module.

Methods, systems and computer product for allowing flexible definition of appearance and behavior states for an interactive application. A state table includes a first dimension and a second dimension, the first dimension configured to identify at least one programming element and the second dimension configured to identify a plurality of states of the computer system. When a state table creation operating mode is activated and alteration of at least one programming element is identified, an operand is automatically stored in a cell at each intersection of the first dimension and the second dimension. Alterations that are identified include movement of a graphical object, changes of size, color, associated text, or other graphical feature of a graphical object.

This lifestyle management assistance device includes: a lifestyle-related information acquisition unit that acquires lifestyle-related information which relates to the lifestyle of a subject; a psychological state evaluation unit that obtains, on the basis of the lifestyle-related information about the subject, the value of a psychological state index which indicates the level of self-efficacy forlifestyle improvement; an action state evaluation unit that obtains, on the basis of the lifestyle-related information about the subject, the value of an action state index which indicates the levelof an action history for lifestyle improvement; a type determination unit that determines the type of the subject by using classification based on a plurality of index axes including the psychologicalstate index and the action state index; and an information providing control unit that provides assistance information according to the type of the subject.

The invention discloses a Raspberry Pi elder people tumbling detection system based on deep learning. Each collector comprises two parallel three-axis acceleration sensors, and the collectors are placed on a waistband, pockets of trousers and pockets of a coat of a person needing collection respectively. When changes of acceleration and angular velocity exceed a certain range, alarm information issent out; redundant information is contained in the data, the data is reduced from 150 dimensions to 100 dimensions, then the data of behavior states is trained through a DBN deep neural network, anda network model generated through training is used for detecting the real-time behavior states. The system has the advantages that the tumbling detection principle is based on the DBN deep neural network, and false tumbling can be effectively prevented, for example, when equipment freely falls on the ground, mistaken judgment of false tumbling is avoided. The cost of Raspberry Pie hardware equipment is low, and popularization can be better achieved.

An MFP is an image processing device which can communicate with external devices such as other MFPs, biological information terminals, a meeting management server, portable terminal devices, and terminals, via network. The MFP prohibits transmitting data stored in the MFP to an external device connected to the network, not associated with at least attendees of the meeting, by an operation of the meeting attendees, when it is determined that the behavior state of the MFP satisfies a predetermined condition which relates to the meeting.

The invention relates to a wristwatch type intelligent aged nursing platform based on tumble alarm and track location functions. The wristwatch type intelligent aged nursing platform is characterized by comprising a mobile terminal, a server, a computer terminal and a wristwatch wearer; a wristwatch is internally provided with a GPS module, a network communication module and an acceleration sensor module as hardware, the GPS module is used for locating the position of the wearer, the acceleration sensor module is used for judging the state according to acceleration data, continuously collected, of wrist motion of the wearer and a corresponding algorithm, and the network communication module transmits the information out; after a terminal system is started, the wristwatch can monitor the behavior state of the wearer in real time and transmit the behavior state and geographic position continuously, the data is transmitted to a server side in real time, the wristwatch has tumble alarm and track location functions, the telephone number of a guardian can be set, and once the wristwatch detects the tumble behavior of the wearer, alarm information is transmitted to the server and a mobile phone of the guardian at the same time.

The invention discloses a remote monitoring method of a behavior state of an infant. The remote monitoring method comprises the steps: behavior data of the infant are collected through a collection device arranged on a crib, and the obtained behavioral data are transmitted to a big data platform center through a network; the behavior data are subjected to feature analysis in the big data platformcenter, the behavior features of the infant are excavated and analyzed through a classification algorithm and the association rule, the behavior state of the infant is identified in real time and predicted and analyzed, and real-time behavior state results and behavior state prediction results of the infant are obtained; and the real-time behavior state results and the behavior state prediction results of the infant are pushed to a user client in real time through the Internet. A large number of detection systems can be subjected to unified management, the calculation speed is increased, and the occupied space is lowered; detection and early warning for the dangerous posture of the infant are high in accuracy and low in alarm missing rate; and a safe and reliable growth environment is provided for the infant, and easy, convenient and quick monitoring conditions are provided for monitoring personnel.

Methods, systems and computer product for allowing flexible definition of appearance and behavior states for an interactive application. A state table includes a first dimension and a second dimension, the first dimension configured to identify at least one programming element and the second dimension configured to identify a plurality of states of the computer system. When a state table creation operating mode is activated and alteration of at least one programming element is identified, an operand is automatically stored in a cell at each intersection of the first dimension and the second dimension. Alterations that are identified include movement of a graphical object, changes of size, color, associated text, or other graphical feature of a graphical object.