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 disclosure provides an exercise monitoring device. The exercise monitoring device comprises a sensor module, a processing module, a storage module, and a user interface. The present disclosure also provides a method for estimating maximal oxygen consumption and/or future total exercise time by obtaining a person's physiological data and exercise data. The present disclosure further provides a method for calibrating the future total exercise time by environmental conditions to form an environmental specific total exercise time.

A method and an electronic apparatus is provided. A first UI indicating a start of an activity is displayed when first data indicating that the activity occurs is received from a first sensor. Information is displayed about a preset time or a preset intensity required for the activity to be converted into exercise. The preset time or the preset intensity is set based on user information related to a characteristic of a user. It is detected that the activity is maintained for at least one of the preset time or at the preset intensity. In response to the detecting that the activity is maintained, a second UI is displayed indicating a start of an exercise. A sensor is activated based on the start of the exercise and exercise history of the user. A function is executed for measuring exercise information by using second data received from the activated sensor.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

A method of varying a dynamic resistive force during a strength training exercise includes receiving a selection of the strength training exercise from a set of available strength training exercises and obtaining exercise logic for the strength training exercise from computer memory. The exercise logic provides instructions for generating a vector that defines the dynamic resistive force provided at an end effector of a strength training apparatus during the strength training exercise. The method includes determining a real-time geometric arrangement of a plurality of cables coupled to the end effector, generating, based on the real-time geometric arrangement of the plurality of cables and the exercise logic, time-varying operating setpoints for a plurality of actuator assemblies coupled to the plurality of cables, and exerting the dynamic resistive force at the end effector by controlling the plurality of actuator assemblies in accordance with the time-varying operating setpoints.

A device performs an autonomic nervous system (ANS) regulation program for regulation of a user's ANS. The ANS regulation program may be tailored to the user based on biometric data of the user. The device initializes the program comprising a state model comprising a plurality of states, wherein each state includes one or more criteria for transitioning to another state of the plurality of states. The device obtains a heart rate signal, via health sensor(s) coupled to the client device during the program. For each state, the device prompts the user to perform one or more actions to regulate an ANS of the user. The device determines whether the heart rate signal obtained during the one or more actions satisfy the one or more criteria for the state. Responsive to determining that the one or more criteria are satisfied, the device transitions to another state of the state model.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to download a workout and to process the sensor data to monitor a user wearing the MIDS during the workout. The processor is further configured to display, via the display system, a workout progress based on the monitoring.

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.

A machine implemented method and system, including: transmitting one or more credentials of a user account from a user device to an exercise management system (EMS) having a processor and one or more sensors, where the EMS is disposed on an exercise equipment disposed in a selected at least one fitness center and the exercise equipment is part of a selected at least one exercise plan; transmitting the one or more credentials of the user account from the EMS to a cloud server having a processor; transmitting the selected at least one exercise plan for the new user account from the cloud server to the EMS; transmitting an exercise equipment information from the EMS; forming a user exercise data by the EMS for the exercise equipment based on data received from the one or more sensors; and transmitting an exercise feedback from the EMS.

Disclosed herein are examples of user-paced exercise equipment, as well as related circuitry, methods, and computer-readable media. For example, disclosed herein is a user-paced treadmill, including a belt, a motor coupled to the belt, and control circuitry communicatively coupled to the motor. The control circuitry may be configured to change a velocity of the belt based at least in part on a body velocity and a leg swing velocity of a user of the user-paced treadmill.