A lactate working threshold-estimating device includes: an acquiring unit configured to acquire information on a gait of a person whose lactate working threshold value is to be estimated from a sensor installed on the person; and an estimating unit configured to estimate the lactate working threshold value of the person on the basis of the acquired information.

A lactate working threshold-estimating device includes: an acquiring unit configured to acquire information on a gait of a person whose lactate working threshold value is to be estimated from a sensor installed on the person; and an estimating unit configured to estimate the lactate working threshold value of the person on the basis of the acquired information.

Methods and apparatus related to wearable devices (150) worn at a location on a user's body, which in response to execution of processor-executable instructions (120) detect for the user pose or motion and pose at location proximate to or more distally disposed to the wearable device (150). The apparatus (100) includes a wearable user interface device. The wearable device (150) via an associated processor (104) detects, at least, volume changes in a user's limb. The wearable device (150) generates gesture information from, at least one of, myographic force data, proximity data, and inertial measurement data. The wearable device (150) may be included in a larger apparatus (100). The wearable device (150) or larger apparatus (100) may include methods of operation in which at least one processor (105) generates gesture and/or extremity information and takes at least one tangible action based on the information.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

A method for determining a muscle fatigue of a muscle includes a first step of electrostimulating the muscle at different frequencies. A second step of the method includes determining forces developed by the muscle in response to the electrostimulations of the first step. A third step includes determining a muscle fatigue on basis of the forces determined in the second step.

A muscle fatigue determination method including a step of electrostimulating a muscle at an electric charge at different frequencies. The electric charge is determined recursively in order to generate reliable and accurate forces of the muscle in response to the electrostimulation. The method further includes the steps of determining these forces and a muscle fatigue based on them.