9 results about "Activity location" patented technology

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.

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 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 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.

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.