Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing cognitive and behavioral metrics associated with a user. In some implementations, a system obtains data from a writing implement, the data indicative of a user performing a task by writing with the writing implement against a receiving device. The system extracts features from the obtained data. The system determines metrics that reflect characteristics of the user, the metrics that reflect cognitive characteristics of the user and metrics that reflect behavioral characteristics of the user. Based on the extracted features and the determined metrics, the system generates a user profile for the user. Based on the features indicating characteristics of the writing behavior of the user, the system modifies the generated user profile as a performance of the user changes over time. The system provides recommendations to improve the performance of the user.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

A lightweight training aid is disclosed including selectively positioned posable appendages for use in various training exercises. The training aid may be formed of one or more separable and distinct portions including a head module, a torso module and a leg module, and combinations thereof. The head module and/or leg module may be releasably coupled to the torso module by interchangeable mounting arrangements. Appendages of the training aid may be posable, at least within a set range of motion, within any of a potentially infinite number of orientations. Methods of using such a training aid also are disclosed.

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.

A method includes determining user content to be provided in a number of formats to a number of network-connected devices associated with a user. The number of network-connected devices are of a plurality of device types. The method further includes determining a fulfillment goal based at least in part on the user content, and generating a multi-fragment application package based at least in part on the respective device types of the number of network-connected devices. The multi-fragment data package includes an adaptable presentation layer that includes instructions for presenting respective fragments of the multi-fragment application package on the number of network-connected devices in accordance with the fulfillment goal. The method further includes providing the respective fragments of the multi-fragment application package to the number of network-connected devices.

A method includes determining user content to be provided in a number of formats to a number of network-connected devices associated with a user. The number of network-connected devices are of a plurality of device types. The method further includes determining a fulfillment goal based at least in part on the user content, and generating a multi-fragment application package based at least in part on the respective device types of the number of network-connected devices. The multi-fragment data package includes an adaptable presentation layer that includes instructions for presenting respective fragments of the multi-fragment application package on the number of network-connected devices in accordance with the fulfillment goal. The method further includes providing the respective fragments of the multi-fragment application package to the number of network-connected devices.

Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

A method for predicting a condition of living-being in an environment, the method including capturing image-data associated with the at-least one person and based thereupon determining a current-condition of the person; receiving content from a plurality of content-sources with respect to said at least one person being imaged, said content defined by at least one of text and statistics; defining one or more weighted parameters based on allocating a plurality of weights to at least one of the captured image data and the received content based on the current-condition; and predicting, by a predictive-analysis module, a condition of the at-least one person based on analysis of the one or more weighted parameters.

A method for predicting a condition of living-being in an environment, the method including capturing image-data associated with the at-least one person and based thereupon determining a current-condition of the person; receiving content from a plurality of content-sources with respect to said at least one person being imaged, said content defined by at least one of text and statistics; defining one or more weighted parameters based on allocating a plurality of weights to at least one of the captured image data and the received content based on the current-condition; and predicting, by a predictive-analysis module, a condition of the at-least one person based on analysis of the one or more weighted parameters.

A system, method, and computer platform product for an adaptive cognitive training platform. In accordance with various aspects of the present disclosure, an adaptive cognitive training platform is configured to process user activity data from one or more instances of a computerized cognitive training program to determine a baseline cognitive assessment for one or more cognitive abilities/skills of a user. The cognitive assessment model may be configured to further process the user activity data to predict a relative value or measure of efficacy for one or more computerized stimuli or interactions within the computerized cognitive training program. The adaptive cognitive training platform may be configured to configure, modify and/or present one or more graphical user interface elements for one or more subsequent instances of the computerized cognitive training program according to the predicted value or measure of efficacy of one or more cognitive training tasks.