Examples provide analyzing motion data. Worker specific sensor data is received and both a task and at least one worker movement based on the received worker specific sensor data are identified. At least one task threshold parameter associated with the identified task and ergometric data for a worker related to the identified task is retrieved and at least one worker specific task parameter based on the received worker specific sensor data is generated. The at least one task threshold parameter is compared with the at least one worker specific task parameter and the at least one worker movement is compared with the ergometric data for the worker related to the identified task. Worker specific task data is generated based on the comparison and a change for future worker movement is identified based on the comparison.

Selectable payroll amounts for instant payroll deposits are described. A service provider can receive employee payroll information indicating an employee account at which an employee is to receive payroll payments from an employer. Additionally, the service provider can receive compensation information indicating compensation to be received by the employee for performing work for the employer. The service provider can leverage a data model to determine that the employee is eligible to receive at least a portion of the compensation via an instant deposit transfer. The service provider can determine, based on a reliability of the employee and/or a level of risk associated with the employer, an amount of the compensation to pay to the employee via the instant deposit transfer and can facilitate the instant deposit transfer of funds associated with the amount to pay the payroll payments to the employee account.

Systems and methods of the present invention provide for determining a required skill set for meeting a goal, determining the current skill set of a user, identifying skill gaps between the required skill set and the user's current skill set, assigning skill training objectives to the user corresponding to the skill gaps, monitoring progress of the user through completion of the skill training objectives, and alerting the user upon completion of the skill training objectives. Goals and skill training objectives may be set for multiple users to close skill gaps preventing such users from qualifying for roles of a project to which the users are closely matched. The each user's respective skill training objective progress may be monitored and tracked provided via a user interface at a manager device associated with the project. The manager device may be alerted when the skill training objectives have been completed by the users.

The present disclosure provides a personal introduction information generating method. The method includes: obtaining basic information of an attorney; establishing a communicational connection with a third-party database to extract all patent case data corresponding to the attorney; counting a historical approval rate of the attorney based on all the patent case data to extract to-be-evaluated patent cases; evaluating the to-be-evaluated patent cases to obtain a review result; generating personal introduction information corresponding to the attorney using a preset template according to the historical approval rate of the attorney and the review result. The method realizes the accurate and comprehensive obtaining of information of patent attorneys. In addition, a computing device and a storage medium are also provided.

In an inverse reinforcement learning-based delivery means detection apparatus and method according to a preferred embodiment of the present invention, an artificial neural network model may be trained by using an actual deliveryman's driving record and imitated driving record, and from a specific deliveryman's driving record, a delivery means of the corresponding deliveryman may be detected by using the trained artificial neural network model, so that a deliveryman suspected of being abusive may be identified.

The present disclosure provides personalized programming guidance to blockchain developers to increase productivity. Conventional methods perform static analysis on the quality of code and fails to provide personalized guidance to developers. The present disclosure receives a plurality of actions associated with a blockchain operation performed by a user and compares with the predefined actions. Further, an activity data associated with the user is updated based on the comparison. An activity grade is computed based on the activity data and a corresponding weightage associated with each of the plurality of actions. A grade data associated with the user is evaluated based on the activity grade. Further, a current proficiency value is computed based on an initial proficiency score and the evaluated grade data. A current proficiency grade of the user is updated based on the current proficiency value and a plurality of recommendations are generated based on that.

A center server as an information processing device includes a processor configured to detect a predetermined event based on vehicle information on a vehicle, calculate a cost for each detected event, calculate a decrease amount obtained by subtracting the total cost, which is the sum of the costs for a predetermined period, from the total cost for the past predetermined period, and calculate a usage amount of a service that provides information on driving behaviors of a driver who drives the vehicle based on the calculated decrease amount.

Detecting distractions and creating stimulus to increase a motivation, e.g., of a home office worker using an AI system. A creation module creates new stimulus for motivation of users. A stimulus module tests the new stimulus that are created by the creation module, and recommends stimulus that are created with the stimulus module that are likely to modify a user's future behavior. A data Module records the user's reaction to the stimulus created by the stimulus module, the Data Module monitoring and recording metrics, using a user's Software, Behavior, Environment and Biometrics indicating whether or not that stimulus was effective. A prediction module analyzes the data to predict user's future behavior to the stimulus that will result in avoidance of negative behavior or pursuit of positive behavior.

Systems and methods are provided for dynamic generation of staff analytics and forecasts based on skill and service level. Dynamic forecasting allows for forecast generation in real-time and may be based on historical data regarding skills and results, as well as data science to identify patterns and make predictions. The resulting staffing forecast may therefore provide for efficient management of messaging staff costs while preserving the desired service quality. The staffing forecast may include a volume forecast that is tailored to the unique nature of asynchronous messaging, as well as the unique messaging needs of the entity so as to efficiently manage messaging operations and make data-driven staffing decisions that take service level into account. An exemplary embodiment may include dynamic analytics tools that may use specified target and/or resource numbers (e.g., desired service level) for an existing messaging operation and get a detailed per-skill staffing forecast.

The invention provides a technology for electronic job processing which includes hiring, rating and paying short term workers. The method of architecting database schemas in conjunction with algorithms provides modules that dynamically automate processes including invoices on a mobile phone app. After authenticating a user on a mobile phone or computer, the algorithms display departmental user menus that provide functions based on user type. The rating mechanism which utilizes a numerical method to assign percentage values to a graphical rating input and stores it numerically in a database or file from where it is modified by a positive or negative value enables worker selection based on competence. The invention provides a window for displaying ads in the mobile apps in form of text, video or audio.