According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive a first signal from an exercising device, process the received signal, respond to the received signal by transmitting a second signal to the exercising device, and participate in a pairing process with the exercising device.

A system for communicating pitch selections wirelessly from a wireless transmitter has a coded signal generator that generates coded signals in accordance with selected pitch types. A receiver decodes the received coded signals, selects an audio file based on the received coded signal and generates an audio signal announcing the selected pitch type based on the transmitted selected pitch type in accordance with the received coded signal. The audio signal is transduced by a bone conductor transducer so that the player can hear the announced selected pitch type through bone conduction.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

An electronic device is provided. The electronic device includes a display, a communication circuit, and at least one processor configured to recognize a user's initial posture based on at least one of motion sensor signals of a first external electronic device and a second external electronic device received through the communication circuit, control the first external electronic device to receive a first motion sensor signal, obtain the user's workout data based on the first motion sensor signal when the initial posture satisfies a designated condition, control the second external electronic device to receive a second motion sensor signal when the user's movement is not recognized based on the first motion sensor signal and obtain the user's workout data based on the second motion sensor signal, and provide the workout data through at least one of the display or the first external electronic device.

A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

A method and system for indicating a breathing pattern is disclosed. The system comprises a plurality of smart wearable devices, a plurality of mobile devices, an application server and a database. The plurality of smart wearable devices is either connected to the mobile devices or directly connected to the application server. The database is connected to the application server to store the data transmitted by the smart wearable device or the mobile device. The plurality of smart wearable devices is capable of monitoring the health index and identifying the variation in health conditions of the user, in real-time and activating a suitable breathing pattern to normalize such medical condition.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

The present invention provides a method and a system for for facilitating rewarding individuals based on fitness challenges. The method and system include steps of receiving user data, analyzing the user data to generate a user account; transmitting a plurality of active fitness challenges to the at least one user device, receiving a selection; receiving a payment corresponding to the selection; receiving user activity data and personal body data; analyzing the user activity data and personal body data to generate a normalized active score; processing the normalized active score based on at least one machine learning algorithm; validating the normalized active score; generating valid normalized active score associated with the at least one user; generating a score card; generating a reward; transmitting the reward to at least winner device; and storing the reward, the user data, the valid normalized active score, the selection, the personal body data, the user activity data, and the payment.