A system for directly tracking human activity is described. The system comprises a plurality of interactive activity objects such as, construction toys, that interact with each other in one or more activities involving physical manipulation of the interactive activity objects by a person; at least one wearable device associated with the person to track the person's activity by sensing the person's movements, to obtain data directly relating to the person's activity; and a database to record the person's direct activity and at least some of the person's direct physical manipulation of with the interactive activity objects.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

A sports ball system for calculating movement characteristics has a sports ball. The sports ball monitors movement characteristics of the sports ball. A plurality of wearable devices is worn by a batter whom the sports ball is being thrown towards. At least one of the plurality of wearable devices receiving and displaying data transmitted by the sports ball and a remaining plurality of wearable devices recording data relating to movement of the batter.

A motion feedback device includes a housing, a speaker and a control module carried by said housing. The control module includes a controller and a motion sensor. The controller is configured to include a mapping adapted for the creation of sound in response to any user-produced movement of the housing as detected by the motion sensor. This allows for continuous original sound generation or composition based upon the user produced movements of the housing.

A computer-implemented method for (1) receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof, (2) generating, using one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan is generated based on the one or more characteristics of the user, and the treatment plan comprises: (i) a dietary plan that is tailored to manage one or more medical conditions associated with the user, and (ii) an exercise plan comprises one or more exercises associated with the one or more medical conditions, and (3) presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan.

A baseball pitch selection communication system has a transmitter and a body-worn visual receiver. The transmitter includes a transmitter unit configured to transmit wireless signals, a first microcontroller and a plurality of user actuatable input elements. The first microcontroller is configured to provide the transmitter unit with a selection signal to wirelessly transmit in accordance with actuation of the user actuatable input elements, the selection signal corresponding to a pitch selection. The visual receiver includes a receiving unit configured to wirelessly receive the selection signal, a memory configured to contain a plurality of stored visual instructions, a display configured to display visual instructions, and a second microcontroller. The second microcontroller is configured to control the memory and the display to display a selected visual instruction in accordance with the received selection signal, where the selected visual instruction corresponds to the pitch selection.

A method of use and system of an adjustable, multiple routine, resistance exercise, apparatus having a single, continuous length of elastic flexible and/or stretchable tubing, banding, and/or strapping, formed in a continuous loop, by having the two free ends of the length of tubing, banding, and/or strapping knotted securely together, thus forming a continuous loop exercise device, having at least three scalable calibrated sections demarcated by a plurality of knotted sections, forming a chain of loops with knotted stays strategically spaced along the length of the formed continuous loop device.

A weight training apparatus having at least one main chain having a series of interconnected segments, at least one connection marker at specified segments on the at least one main chain, at least one tangent chain, at least one tangent chain connector to connect the at least one tangent chain to the at least one main chain, at least one data hub, at least one data processor, and at least one data communicator.

A wearable device, where the wearable device includes at least two working modes. The at least two working modes include a first working mode and a second working mode. The wearable device receives a user operation, the wearable device starts the first working mode in response to a first operation of a user to collect first activity data, where the first activity data is daily activity data of the user, and the wearable device starts the second working mode in response to a second operation of the user to collect second activity data, where the second activity data is professional exercise data of the user.