A fitness tracking system includes a shoe, a monitoring device, and a controller. The monitoring device is mounted on the shoe and includes an accelerometer configured to generate acceleration data corresponding to acceleration of a foot received by the shoe. The controller is operably connected to the accelerometer and is configured to collect sampled acceleration data by sampling the generated acceleration data, to identify foot strike data of the sampled acceleration data, to identify a local minimum of the sampled acceleration data collected prior to the foot strike data, and to determine foot strike characteristic data corresponding to the foot strike data based on an acceleration value at the local minimum.

Provided are a fitness control system and a spinning bicycle. The system includes: a central controlling unit for detecting change information of each parameter of the fitness equipment; and a terminal device for controlling, according to the change information of each parameter of the fitness equipment, a virtual character to simulate movement of a user who uses the fitness equipment in the target fitness scene, and for real-time detecting during a virtual character simulates movement of the user, the road condition information in the target fitness scene, and feeding back to the central controlling unit a control signal matching a set condition. The central controlling unit is also configured to control, according to the control signal, the fitness equipment to generate feedback matching the influence.

A method for displaying archived exercise classes comprising displaying information about archived exercise classes that can be accessed by a first user via a computer network on a display screen at a first location, wherein the first user can select among a plurality of archived classes, outputting digital video and audio content comprising the selected archived class, detecting a performance parameter for the first user at a particular point in the selected class, displaying the performance parameter on the display screen, and displaying performance parameters from a second user at a second location on the display screen such that at least one of the performance parameters from the first user and at least one of the performance parameters from the second user at the same point in the class are presented for comparison.

A patient can undergo physical therapy to rehabilitate a musculoskeletal condition. The success of the rehabilitation relies in part on whether the patient uses an exercise band with the correct resistance for their condition. In order to select the correct resistance, a controller can instruct the patient to perform a directed movement with an exercise band, receive exercise data from at least one sensor (e.g., a camera, like a front-facing camera, that records the patient, a plurality of sensors on or near the patient's skin, etc.) as the subject performs the directed movement, and calculate a pull force exerted by the patient on the exercise band based on at least a portion of the exercise data. The adequacy of an exercise with the exercise band for the patient is determined based on the pull force can be determined based on the calculated pull force.

A portable apparatus includes an exercise-measurement circuitry that measures exercise-related measurement data related to a user carrying out an exercise, a communication circuitry configured to provide the portable apparatus with wireless communication capability, and a processing circuitry configured to a perform operations. The operations include receiving the exercise-related measurement data from the exercise-measurement circuitry, receiving configuration data from an external user interface apparatus over a bidirectional wireless communication connection established through the communication circuitry and capable of transferring payload data to both directions, processing the exercise-related measurement data according to the received exercise-related parameters in order to obtain advanced exercise-related data, and communicating the advanced exercise-related measurement data to the user interface apparatus over the bidirectional wireless communication connection.

A method of determining a fitness level of user with a physiological sensor. The method includes measuring a physiological value of the user with the physiological sensor, correlating the measured physiological value into a measurement of the user's respiratory rate and tidal volume, calculating a second respiratory rate value using the measured tidal volume, calculating a breathing efficiency (BE) ratio based on a comparison of the user's measured respiratory rate and the calculated second respiratory rate value, correlating the calculated BE ratio to a predetermined threshold, and assigning a classification to the user based on the calculated BE ratio. The classification is indicative of the user's respiratory function performance.

A method of determining a fitness level of user with an acoustic measurement device configured to measure sound associated with airflow through a mammalian trachea. The acoustic measurement device is in communication with a controller having processing circuitry. The method includes correlating the measured sound into a measurement of the user's respiratory rate and tidal volume; calculating a second respiratory rate value using the measured tidal volume; calculating a breathing efficiency (BE) ratio based on a comparison of the user's measured respiratory rate and the calculated second respiratory rate value; correlating the calculated BE ratio to a predetermined threshold; and assigning a classification to the user based on the calculated BE ratio. The classification is indicative of the user's respiratory function performance.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

An electronic device for measuring parameters related to activities of a user and determining stamina of the user are disclosed herein. A stamina potential metric may be determined from long-term activities that reduce and rebuild stamina potential. A stamina left metric may be determined. The stamina left metric is indicative of short-term work that the user can perform during a workout. The electronic device may track the stamina potential and the stamina left of the user as well as the various parameters associated with the activities performed by the user and track and update the user’s performance metrics. Furthermore, the device may compare a determined amount of stamina required to perform activities with the stamina potential of the user and recommend activities.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.