20 results about "Activity location" patented technology

Systems and methods are provided for facilitating an interactive artificial-reality activity. A method includes, after a user of a head-wearable device has opted-in to using an artificial-reality application to facilitate connecting with other participating users, determining, based on user-specific suggestion criteria, that a suggested user is located in an approved common space with the user and has opted-in to use the artificial-reality application. The method includes causing the head-wearable device to present an user interface (UI) element for linking the suggested user and the user. Upon the user selecting the UI element for linking the suggested user with the user, the method includes automatically causing the head-wearable device to provide visual-guidance UI elements to navigate the user to an interactive-activity location where the user and the suggested user will perform an artificial-reality activity while also displaying information about the artificial-reality activity to be performed.

The invention discloses a smart traffic big data processing method and system, a storage medium and equipment, and relates to the technical field of data processing. The method comprises the following steps: acquiring activity reservation information of a target area in a preset time period, wherein the activity reservation information comprises an activity place, an activity estimated number of people and an activity time range; determining a scheduling strategy of a target vehicle set based on the activity estimated number of people and the activity time range; predicting a traffic information graph of the target area in the activity time range, wherein the traffic information graph comprises traffic information of all traffic roads with the activity place as the center and the preset length as the radius; determining a driving route and a standby route corresponding to each target vehicle in the target vehicle set based on the traffic information graph and a scheduling strategy; and generating a comprehensive scheduling map of the target vehicle set in the target time range based on the driving route and the standby route corresponding to each target vehicle. By implementing the technical scheme provided by the invention, the effectiveness of vehicle scheduling during large-scale activities is improved.

Systems and methods are provided for facilitating an interactive artificial-reality activity. A method includes, after a user of a head-wearable device has opted-in to using an artificial-reality application to facilitate connecting with other participating users, determining, based on user-specific suggestion criteria, that a suggested user is located in an approved common space with the user and has opted-in to use the artificial-reality application. The method includes causing the head-wearable device to present an user interface (UI) element for linking the suggested user and the user. Upon the user selecting the UI element for linking the suggested user with the user, the method includes automatically causing the head-wearable device to provide visual-guidance UI elements to navigate the user to an interactive-activity location where the user and the suggested user will perform an artificial-reality activity while also displaying information about the artificial-reality activity to be performed.

The invention discloses a life circle defining method, system and device and a storage medium. The method comprises the following steps: acquiring mobile phone signaling data and residential quarter AOI data; according to the mobile phone signaling data, identifying an individual living anchor point, and based on the residential quarter AOI data, determining a function type of a grid of a visited destination of the individual; and based on the function type, extracting activity places of collective regular access, and delimiting a space range of a life circle. The method is beneficial to improving the accuracy of life circle delimiting, and can be widely applied to the technical field of urban space planning.

A method for administering a communication skills assessment and generating an augmentative and alternative communication (AAC) strategy is provided. The method is implemented by a computer device and includes steps of: displaying an input page for inputting of an activity, an activity location and an activity goal for a client; generating and displaying a key steps evaluation form that includes a plurality of key steps required for achieving the inputted goal, and a plurality of independence level entry fields that respectively correspond to the plurality of key steps, each of the plurality of independence level entry fields designed for inputting of information on communication independence level of the client corresponding to the respective one of the key steps; generating and displaying a plurality of communication needs; displaying a barriers evaluation questionnaire to be completed; and generating and displaying at least one communication strategy and a lesson plan.

A big data processing method, system, storage medium, and device for intelligent transportation are disclosed, relating to the field of data processing technology. The method includes: acquiring activity reservation information for a target area within a preset time period, the activity reservation information including the activity location, estimated number of participants, and activity time range; determining a scheduling strategy for a target vehicle set based on the estimated number of participants and the activity time range; predicting a traffic information map of the target area within the activity time range, the traffic information map including traffic information for all roads centered on the activity location with a preset radius; determining the driving routes and backup routes corresponding to each target vehicle in the target vehicle set based on the traffic information map and the scheduling strategy; and generating a comprehensive scheduling map of the target vehicle set within the target time range based on the driving routes and backup routes corresponding to each target vehicle. Implementing the technical solution provided in this application improves the effectiveness of vehicle scheduling during large-scale events.

To provide a system that allow more citizens and businesses to be involved and engage themselves in volunteer activities and the like even in situations where it is not possible to provide appropriate monetary compensation due to budget constraints or other reasons.SOLUTION: An activity management device of the present invention includes: an activity participant information registration unit that registers information about a user performing a predetermined activity or an organization to which the user belongs as activity participant information; an activity location information receiving unit that receives information regarding the location where the activity was performed; an activity participant extraction unit that extracts activity participants performing activities in each predetermined area based on the activity location information; and an activity participant information transmission unit for each area that transmits information on the activity participants extracted for each area as information to be displayed for each area on a map. On a display device side that receives the information on the activity participants for each area, icons, logos, thumbnails, and the like of the extracted activity participants are displayed on the map.SELECTED DRAWING: Figure 12

The invention discloses a regional industrial structure intelligent analysis method based on enterprise big data mining, and relates to the technical field of enterprise big data mining and governance, and the method comprises the steps: obtaining an enterprise registration address and activity occurrence place record, and constructing a weighted registration point set and a weighted activity point set; respectively calculating statistical parameters to construct a registration standard deviation ellipse and an activity standard deviation ellipse; based on the area difference of the two types of ellipses, the distribution difference of the active points inside and outside the ellipses and the center offset distance, synthesizing and calculating the double-ellipse hollowing fingerprint intensity; a hollowing significant industry set is determined through statistical baseline screening; and finally, adaptively selecting an activity standard deviation ellipse or a registration standard deviation ellipse as an industrial space range according to a screening result, and generating a regional industrial portrait. According to the method, the spatial dislocation of registration and operation is effectively quantified, and the accuracy of industrial feature analysis is improved.

This invention belongs to the field of wearable device technology, and specifically relates to a method, device, equipment, and medium for location anomaly early warning in wearable devices. The method includes: reading the user's age information and determining whether the age exceeds a preset age threshold; if it does, continuously monitoring the user's activity trajectory to obtain the user's activity location; monitoring the user's dwell time at the activity location, and if it exceeds a preset time threshold, loading historical audio data to obtain the target location of the planned itinerary; if the activity location does not match the target location, acquiring monitoring data at the activity location and triggering a location anomaly early warning based on the monitoring data. This invention, for older children, does not use electronic fence monitoring but instead continuously monitors their activity trajectory for safety monitoring. This method does not restrict their free movement and does not frequently send warnings to guardians, thus improving the user experience.

We provide the system. [Solution] A system to assist in creating schedules for children, A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods. Means for transmitting the aforementioned data to a server, The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child, Means for transmitting the generated schedule to the user terminal, A system including means for visually displaying the generated schedule.

The present invention proposes a method for estimating truck freight activity patterns based on GPS and sampling surveys. The GPS historical data of the truck object under study is obtained, and a sampling survey is conducted on the truck under study to determine the category of goods it transports and the type of activity it performs at the parking point; based on the truck GPS data, the parking time of each truck at the effective parking point and the distance to the parking point are calculated, and then their probability distribution parameters are estimated respectively; and the probability of the truck engaging in a specific activity at the effective parking point is calculated based on this; the probability of the truck engaging in freight-related activities at the parking point is then corrected; and the truck's freight activity itinerary chain is determined based on this, which is the truck freight activity pattern. The method of the present invention comprehensively utilizes multivariate data including GPS and sampling survey data to estimate the truck freight activity pattern, which helps to deepen the understanding of freight demand patterns and corresponding activity locations, and provides an important basis for the optimal design of freight-related infrastructure networks.

The invention relates to a staying activity place analysis method based on user behaviors. The method comprises the following steps: acquiring staying point data of a user in a physical space; associating external geographic information data on the basis of the stay point data, and obtaining marked site function attribute data; extracting a time transfer sequence between the places from the marked place function attribute data, and processing the transfer sequence by adopting a sequence modeling algorithm to obtain a predicted moving mode path; wherein the moving mode path reflects a site association rule; and judging and correcting the predicted moving mode path, and generating a user behavior dynamic report. By integrating staying and moving details, a user behavior rule is accurately described, the accuracy and integrity of trajectory analysis are remarkably improved, and the method is suitable for scenes such as intelligent navigation and behavior prediction.

The invention discloses an activity chain time allocation behavior modeling method considering travel cost, which comprises the steps of acquiring a travel track of a vehicle, calculating inherent effectiveness of an activity according to influence of activity related attributes and individual attributes on individual preferences, and calculating inherent effectiveness of the activity on the basis of influence of travel related attributes necessary for arriving at an activity place on the individual preferences. Calculating the travel negative utility of the activity, and constructing a utility function which comprehensively considers the inherent utility of the activity and the travel negative utility; based on a utility maximization theory and a time conservation theory, establishing a joint decision model of activity selection and time distribution; and solving the constructed model by adopting a statistical method to obtain the optimal activity time distributed at each destination, so that the overall activity effectiveness is maximized. According to the method, the time distribution process of individuals among different activity places can be described more accurately, and the applicability and prediction precision of the model to real travel behaviors are improved.

The invention discloses an individual activity position prediction data set construction method based on social media data, and relates to a spatio-temporal data analysis technology. The individual activity position prediction data set construction method based on social media data mainly comprises the following steps: constructing a multi-dimensional data framework by utilizing a space gridding acquisition strategy, a microblog open platform API (Application Program Interface), a dynamic proxy IP (Internet Protocol) pool and a fingerprint confusion technology; multiple data processing technologies such as de-weighting, missing value filling, anomaly detection and coordinate correction based on DBSCAN clustering and POI matching are adopted to correct original data, and a high-quality data subset is obtained through spatial and temporal distribution analysis and data quality evaluation. By implementing the individual activity position prediction data set construction method based on social media data provided by the invention, a high-quality, time-space-accurate and privacy-compliant data set can be provided.

The application relates to the technical field of data analysis, and particularly discloses a volunteer activity management system, which comprises a registration module, which is used for registering a user as a volunteer according to a volunteer application uploaded by the user; further comprises an information management module, which is used for receiving personal information of the volunteer, establishing a personal file of the volunteer and storing the personal file; an activity creation module, which is used for receiving input activity introduction information and further used for publishing a volunteer activity based on the activity introduction information after receiving a confirmation instruction; the activity introduction information comprises an activity time, an activity location, an activity content and an activity number; and a number estimation module, which is used for estimating a number of participants in real time according to the input activity introduction information and the stored personal information of the volunteer and displaying the number. The technical scheme of the application can help an organizer to effectively estimate the number of participants before publishing a volunteer activity, so that a situation of insufficient number of participants can be avoided.

The invention provides a clothing optimization system and method for functional clothing, and belongs to the field of clothing design. The system comprises a user input module which is used for receiving a matching request initiated by a user, analyzing the matching request and extracting an activity scene, activity time and activity place keywords; the data acquisition module is used for calling a third-party API (Application Program Interface) to acquire real-time environment data according to the activity place and the activity time extracted by the user input module; the core database is used for storing structured data of clothes and accessories; the intelligent collocation engine is used for generating and sorting collocation schemes through a multi-level rule query and sorting algorithm; the visual output module is used for visually displaying the matching scheme in the form of a virtual fitting image; and the feedback learning module is used for collecting scores and feedback of the users and the experts on the recommendation scheme, and optimizing the recommendation model based on feedback data. According to the invention, the problem that the traditional fashion recommendation system is lack of functionality in special scenes such as professional sports and outdoors is solved.

To provide a mechanism capable of facilitating user activities at activity places.SOLUTION: An information processing device 3 comprises: a characteristic identification unit 332 which identifies the characteristics of a first user on the basis of first token information, which is information related to a first non-fungible token held by the first user; a determination unit 334 which determines whether a characteristic relationship between the characteristics of the first user identified by the characteristic identification unit 332 and the characteristics of the second user identified by characteristic identification information for identifying the characteristics of the second user satisfies a predetermined condition for each second user different from the first user; and a presentation unit 335 which presents information about the second user, for whom the determination unit 334 has determined that the characteristic relationship satisfies the predetermined condition, to the first user.SELECTED DRAWING: Figure 2

This invention discloses a method for modeling activity chain time allocation behavior that considers travel costs. The method includes acquiring vehicle travel trajectories, calculating the inherent utility of activities based on the influence of activity-related attributes and individual attributes on individual preferences, calculating the travel-related negative utility of activities based on the influence of necessary travel-related attributes on individual preferences, and constructing a utility function that comprehensively considers both the inherent utility and travel-related negative utility. Based on utility maximization theory and time conservation theory, a joint decision-making model for activity selection and time allocation is established. Statistical methods are used to solve the constructed model to obtain the optimal activity time allocated to each destination, thereby maximizing the overall activity utility. This method can more accurately characterize the time allocation process of individuals between different activity locations, improving the model's applicability and prediction accuracy to real-world travel behavior.

The invention discloses an information management system and method for a micro-nano processing experiment platform, and is used for solving or partially solving the problems of high personnel management difficulty and poor information display effect in the prior art. The information management system at least comprises an identification tracking module and an alarm module; acquiring identity information data of micro-nano processing laboratory personnel in a monitoring area through an identification tracking module, and tracking activity places of the micro-nano processing laboratory personnel and operation behaviors of the micro-nano processing laboratory personnel on equipment in real time; and when it is judged that the activity place and / or the operation behavior on the equipment meet a preset violation condition based on the identity information data, violation alarm information is generated, and the violation alarm information is sent to a first class of responsible person and a second class of responsible person determined based on the identity information data.