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.

An exercise information acquisition equipment of the present invention is an electronic equipment which builds therein a battery, is driven with electric power of the battery and acquires information relating to an exercise that a user performs and includes a battery remaining amount acquisition device which acquires a battery remaining amount of the battery, a time information acquisition device which acquires information relating to a time taken for the exercise which is information that how long the user plans to perform the exercise and an electric power control device which controls an operation pertaining to a power consumption reduction of the electronic equipment on the basis of the battery remaining amount and the information relating to the time taken for the exercise.

Systems and methods are disclosed for generating a 3D avatar and object fitting recommendations using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate the 3D avatars and object fitting recommendations.

A system for physical rehabilitation comprises a clinician interface including a patient profile display presenting data regarding performance of a regimen for a body part. A patient interface presents instructions and status information regarding the performance of the regimen. The patient interface further presents a questionnaire soliciting responses to questions pertaining to current and past physical conditions of the patient. Selected responses to the questions cause the system to take actions, including preventing operation of a treatment apparatus by the patient, and/or transmitting an alert message to a clinician. The alert message may be transmitted within the clinician interface and/or as a real-time message outside of the clinician interface. A questionnaire is presented to the patient in response to occurrence of a triggering event pertaining to the patient's use of the treatment apparatus.

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.

Performance information associated with a previous repetition of an exercise movement is received. Performance of one or more upcoming repetitions is predicted, based at least in part on the performance information associated with the previous repetition of the exercise movement. A failure classification of whether the one or more upcoming repetitions is associated with an occurrence of physical failure is performed, based at least in part on the predicted performance of the one or more upcoming repetitions of the exercise movement. A number of repetitions in reserve is determined, based at least in part on the failure classification.

The disclosure of the present invention relates to a play experience system and a physical development status acquisition method using the same, which can precisely measure physical development items of users including children and juveniles by using play-type experience devices, and can acquire experience data based physical development status by analyzing a correlation between an experience instrument itself and the physical development item.

A punch-and-cycle exercise device is described. The device includes a cycling mechanism, a frame to which a punch-pad is attached, a plurality of delineated target zones arranged on the punch pad, a sensor unit that may include an impact sensor, an accelerometer, and a single or plurality of hall effect sensors, each communicatively connected to the target zones. A control unit communicatively connects with the sensors, a punch-pad mounted camera, and a display. Gloves with built in magnets and/or unique markings/visual identifiers interact with the sensors and/or camera and provide data to the controller to track user success at responding with correct puncing form to illuminated and sequenced punching programs while cycling. Output can be displayed locally or on any paired device.

An athlete performance tracking and prediction system may include a device processor and a non-transitory computer readable medium including instructions stored thereon, and executable by the processor, for performing the following steps: collecting data related to performance of a player into a database; compiling data and reporting performance attribute scores; performing comparisons between the reported performance attribute scores for the player to scores of other players in the database; and projecting future performance of the player based on the performed comparisons.

According to one example, a training device includes a first set of time of flight sensors (ToF) positioned to face in a first direction, a plurality of addressable red, green, blue light emitting diodes (RGB LEDs) positioned to face in the first direction, and a second set of ToF sensors positioned to face in a second direction that is perpendicular to the first direction. The training device includes and/or is in communication with one or more processors that can determine a training program for a user that includes visual signals that represent a plurality of actions for performance by the user. Also, for each of the plurality of actions, the training device can cause a first set of the plurality of addressable RGB LEDs to provide a visual indication of the corresponding action for performance by the user, and detect whether the user performed the corresponding action.