A respiratory muscle strengthening device includes: a mask body which covers at least a part of the face of a user; a pressure unit which is provided at one side of the mask body to control air inhaled from the outside of the mask body; a sensor unit which is provided at one side of the mask body to measure a respiratory pattern of the user; a band part which is formed to extend from the opposite ends of the mask body and by which the mask body is brought into close contact with the face of the user; and a cover part which is detachably coupled to one side of the mask body. The cover part includes a filtering part which filters out particles in the air.

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a sexual performance health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the sexual performance health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. A machine learning model is used to generate a second treatment plan that modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a pulmonary condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a pulmonary condition of the user subsequent to at least one of a pulmonary procedure being performed on the user, a pulmonary treatment being performed on the user, and a pulmonary diagnosis, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability. A treatment apparatus is configured to enable implementation of the treatment plan.

An apparatus includes a first cable, a first motor configured to provide first tension to the first cable, a second cable coupled to the first cable at an end effector, and a second motor configured to provide second tension to the second cable. The first cable and the second cable are routed such that the first tension and the second tension combine to provide a force on the end effector. At least one of the first tension or the second tension is directed at least partially in a downward direction.

Apparatus, systems, and methods for tracking the location of an individual during a fitness activity are disclosed. A method of tracking a participant engaged in a fitness activity includes determining a location of the participant during the fitness activity based on data received at a portable fitness device used by the participant; determining a location of a spectator during the fitness activity based on data received at a mobile spectator device used by the spectator; from a server, sending an alert to a spectator at a spectator device during the fitness activity indicating that the participant is within a predetermined distance of the spectator; and sending an alert to the portable fitness device during the fitness activity indicating that the spectator is within a predetermined distance of the participant.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

An approach for providing real-time feedback during a sports activity (e.g., golf play) based, at least in part, on analysis of sensor information, is disclosed. The approach involves receiving sensor data associated with one or more sensors arranged to track playing technique information of a player engaged in a sports activity. The approach also involves processing the sensor data in real-time to determine the playing technique information. The approach further involves retrieving baseline information for the player. The approach also involves comparing the playing technique information with the baseline information. The approach further involves generating, in real-time with the engagement of the sports activity, an instructional message to modify playing technique of the player based on the comparison. The approach also involves initiating presentation, during the sports activity, of the instructional message to a user interface of a device accessible by the player.

A social engagement system includes a first exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting connection to a second exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. Additionally, the connection allows transfer of data useful for social engagement.