Abstract: Methods and systems for displaying and interacting with data from an activity monitoring device are disclosed. In one implementation, a system may include an activity monitoring device including a plurality of biosensors electrically coupled to a circuit board and configured to measure biological information of a user of the activity monitoring device; and a computing device communicatively coupled to the activity monitoring device. The computing device may include a display; one or more processors; and one or more non-transitory computer-readable mediums operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause: at least one of the one or more processors to process the biological information measured by the activity monitoring device, and the display to display an activity display and a sleep display based on the processed biological information.

Abstract: A system for providing a sleep recommendation includes an apparatus for providing a sleep recommendation. The apparatus includes a preferred sleep determination module that determines a preferred sleep duration. The apparatus also includes a sleep debt module that creates and updates a sleep debt based on the preferred sleep duration and an actual sleep duration. In addition, the apparatus includes a sleep recommendation module that provides a recommended sleep duration based on the sleep debt.

Abstract: Systems and methods for identifying and presenting information regarding performance periods are provided. Fatigue level associated with fatigue experienced in response to a stimulus and recovery from such fatigue may be determined based on heart rate variability (HRV) data and learned user characteristics. One or more cycles of fatigue and recovery can be identified as a fitness cycle(s), each fitness cycle encompassing a period of time beginning with the stimulus associated with the fitness-related activity and progressing through recovery from the fatigue experienced in response to the stimulus associated with the fitness-related activity. A performance period may be predicted based on a pre-determined fatigue/recovery level instance within a fitness cycle.

Abstract: Systems and methods for identifying and presenting information regarding a fitness cycle are provided. Fatigue level associated with fatigue experienced in response to a stimulus and recovery from such fatigue may be determined based on heart rate variability (HRV) data and learned user characteristics. One or more cycles of fatigue and recovery can be identified as a fitness cycle(s), each fitness cycle encompassing a period of time beginning with the stimulus associated with the fitness-related activity and progressing through recovery from the fatigue experienced in response to the stimulus associated with the fitness-related activity. Information regarding the fitness cycle(s) can be presented to a user in a variety of ways.

Abstract: A system for providing a lifestyle recommendation includes an apparatus for providing a lifestyle recommendation. The apparatus includes a movement monitoring module that monitors a movement to detect an activity and create an activity score associated with the movement. The apparatus also includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes a lifestyle recommendation module that provides a lifestyle recommendation based on the activity, the activity score, and the fatigue level.

Abstract: A system for providing an intelligent goal recommendation for activity level includes an apparatus for providing an intelligent goal recommendation for activity level. The apparatus includes a movement monitoring module that monitors a movement to determine an activity score associated with the movement. The apparatus also includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes an activity level recommendation module that recommends an activity level based on the fatigue level and an archive. The archive includes historical information about the movement and the fatigue level.

Abstract: A system and method for tracking biological age over time based upon heart rate variability includes an activity monitoring device configured to measure and transmit one or more biological age parameters, including heart rate variability, to a biological age calculation and display module configured to calculate a biological age factor as a function of the biological age parameters, calculate biological age as a function of the biological age factor and the user's actual age, and display the biological age.

Abstract: A wearable wristband with a removable device comprises an electronic capsule and a wristband, wherein the electronic capsule comprises a wrist biosensor, a finger biosensor, a watertight casing, a battery, one or more circuit boards electronically coupled to the wrist biosensor and a finger biosensor. The wristband comprises a flexible material notched with a cavity and an aperture, wherein the cavity is shaped to receive the electronic capsule and the aperture shaped to receive the finger biosensor.

Abstract: A system for creating and dynamically updating a user activity profile includes a processor, a sensor module, and a memory module. The memory module includes stored computer program code that, along with the memory module and the processor, is configured to carry out a number of operations to create and dynamically update the user activity profile. One such operation involves maintaining an activity archive that includes activity information received from the sensor module and that is representative of a user's activity. Another such operation includes creating and updating a dynamic activity profile based on initial user input and further based on the activity archive. The initial user input contributes to the dynamic activity profile according to a first weighting factor, and the activity archive contributes to the dynamic profile according to a second weighting factor.

Abstract: A wearable activity monitoring device secured by a wristband with an interchangeable section comprises a first semi-elliptical component including a band element configured to hold an activity monitoring device capsule, the band element terminating on each end with a female connector that includes magnets and a pin receiving socket, and a second semi-elliptical component comprising a second band element terminating on each end with a male connector that includes a ferromagnetic connector pin configured to be magnetically secured inside a corresponding pin receiving socket when the two semi-elliptical components are joined.

Abstract: A system for anticipating activity includes an apparatus for anticipating activity. The apparatus includes an activity anticipation module that anticipates an activity based on an archive. The archive includes historical information associated with past activity. The apparatus also includes an encouragement module that provides encouragement for the activity. The encouragement is based on the archive and the activity.

Abstract: A system and method for displaying competitive lag-lead data includes a plurality of display pixels oriented on a wearable activity monitoring device configured to display a visual representation of a user's activity score, or other metrics of interest, as compared with the activity score, or other metrics of interest, of one or more reference activity monitoring devices.

Abstract: A system for providing a training load schedule for peak performance positioning includes an apparatus for providing a training load schedule for peak performance positioning. The apparatus includes an initial load schedule module that provides an initial load schedule. The apparatus also includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes a dynamic load schedule module that creates and updates a dynamic load schedule by modifying the initial load schedule based on the fatigue level.

Abstract: A system for providing a smart activity score includes an apparatus for providing a smart activity score. The apparatus includes a movement monitoring module that monitors a movement to determine a metabolic loading associated with the movement during a score period. The apparatus also includes a period activity score module that creates and updates a period activity score based on the metabolic loading and the movement. The period activity score is created and updated for the score period. In addition, the apparatus includes a smart activity score module that creates and updates a smart activity score by aggregating a set of period activity scores.

Abstract: A system for providing an interpreted recovery score includes an apparatus for providing an interpreted recovery score. The apparatus includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes a dynamic recovery profile module that creates and updates a dynamic recovery profile based on an archive. The archive includes historical information about the fatigue level. The apparatus also includes an interpreted recovery score module that creates and updates an interpreted recovery score based on the fatigue level and the dynamic recovery profile.

Abstract: A system for identifying fatigue sources includes a processor and at least one computer program residing on the processor. The computer program is stored on a non-transitory computer readable medium having computer executable code embodied thereon. The computer executable code is configured to detect a fatigue level. The computer executable code is further configured to receive fatigue contribution data. In addition, the computer executable code is configured to identify a fatigue source based on the fatigue level and the fatigue contribution data.