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 process the sensor data to derive an activity metric. The processor is further configured to display, via the display system, the activity metric, wherein the display system is disposed in the eyewear so that the activity metric is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

A method includes receiving electronic content via a network, the electronic content comprising an exercise class, and receiving user data associated with a user participating in the exercise class using an exercise machine. The method also includes generating an executable control for a user interface based at least in part on the user data, and providing the executable control, via a display of the exercise machine, while the user is participating in the exercise class. In such a method, the executable control is operable to modify a parameter of the exercise machine while the user is participating in the exercise class.

A face device for monitoring biomedical parameters of a user provides a support and housing structure shaped so as to be applied to the head of the user, an oximetry sensor fitted to the support and housing structure so as to adhere, in an operating position, to the face of the user at the facial artery, a sound source fitted to the support and housing structure so as to adhere, in an operating position, to a cranial bone of the user, an independently powered electronic board for processing data, received in the support and housing structure and connected to the oximetry sensor and to the sound source so as to detect and process signals coming from the oximetry sensor and to provide information on biomedical parameters to the user acoustically through the sound source. This face device does not engage or distract the user.

The controller of a wearable device is used to determine swim characteristics of a swimmer. The controller is connected to at least one motion sensor selected from a group including a multi-axis gyroscope and a multi-axis accelerometer. The controller is adapted to detect input signals from the at least one motion sensor. The controller is further configured to perform dynamic stroke segmentations based on at least one of the input signals using a stroke segmentation module, extract feature vectors, using feature extraction module, from the at least one input signal based on the stroke segmentations, and determine the swim characteristics by using the feature vectors through a classifier module. The controller dynamically adapts to a style of the swimmer to detect the swim characteristics.

The present technology relates to an information processing apparatus, information processing method, and program that make it possible to encourage a user to consume energy. The information processing apparatus includes a presentation control unit that controls presentation of energy consumption of a user in a time period from detection of a first trigger to detection of a second trigger. The first trigger causes energy consumption to be presented. The second trigger causes energy consumption to be presented. The present technology is applicable, for example, to a mobile information terminal such as a wearable device or a smartphone.

An apparatus for configuring a wearable device for exercise tracking includes a data storage unit for storing sensor data generated by a sensor arrangement in the wearable device based on sensed movement of the wearable device and optical movement data including representations of an individual obtained from an image-based monitoring system; and a processing unit configured to: execute a movement tracker model on the sensor data to determine a first exercise activity and an associated first confidence indicator; execute an optical tracker model on the optical movement data to determine a second exercise activity and an associated second confidence indicator; process the movement tracker model based on the first confidence indicator and the second confidence indicator.

Disclosed are example embodiments of an exercise system and methods for providing a personalized workout session. An example method for providing a personalized workout session includes collecting heart rate data of a user during a calibration workout session. The example method for providing a personalized workout session also includes determining a plurality of personalized heart rate zones for the user based on the collected heart rate data. Additionally, the example method for providing a personalized workout session includes providing, to an exercise equipment, a workout session having a plurality of workout segments, wherein each workout segment has a target heart rate zone that is associated with one of the plurality of personalized heart rate zones.

Posture training systems provide hands-free shoulder and back\spine alignment assistance for facilitating correct posture and alignment of the shoulders and spine of an athlete throughout swing or other physical rotational movements, and methods of their use. The posture training systems include vests that provide information during and throughout the rotational movement about spine-tilt angle relative to the ground, plane of the shoulders during torso rotation, perpendicularity between the spine and a line drawn between the shoulders, as well as departures from or maintenance of any of the initial parameters.

Aspects relate to systems, methods, and apparatuses relating 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.

A wearable device includes at least one memory, at least one sensor, a display, and at least one processor configured to receive, via the display, an input with respect to an item among a plurality of items respectively representing an exercise plan; in response to receiving the input, acquire, via the sensor, information for a first body temperature of a user wearing the wearable device; in response to identifying that the first body temperature is less than a first reference temperature, display a second screen guiding a warm-up exercise distinguishable from a first screen guiding the exercise plan indicated by the item corresponding to the input; acquire, via the sensor, a second body temperature of the user, while the second screen is displayed; and in response to identifying that the second body temperature reaches a second reference temperature, switch the second screen to the first screen.