A treadmill including a frame, an exercise deck attached to the frame, and a first push-up handle attached to the frame and elevated over the exercise deck.

An apparatus comprising a practice device for practice of hitting a tennis ball includes a server configured for serving the tennis ball to a user, a net disposed to intercept a flight of the tennis ball after the tennis bell has been hit by the user using a racket and to direct the captured tennis ball back towards the server to be served again to the user, an image detector configured to observe the tennis ball as the tennis ball hurtles towards the net, and a processor. The processor determines, based at least in part on image frames received from the image detector, data indicative of the tennis ball's virtual landing spot. This virtual landing spot is an estimate of where the tennis ball would have landed on an opposing court had the tennis ball not been intercepted by the net.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.

A portable instrument provided with a device for controlling or managing a sports or well-being activity of a person wearing the portable instrument. The control device includes at least a motion sensor and a pressure sensor connected to a calculation unit, and a GNSS receiver module connected to the calculation unit. The calculation unit of the control device is arranged to activate the GNSS receiver module for a time of activation defined subsequent to variations in movement detected by the motion sensor differing from known movement data or walking profiles in order to determine at least one reference speed of the person, and to deactivate the GNSS receiver module after the activation time for a deactivation time greater than the activation time.

Provided is a runner matching device may include a running environment collecting unit configured to acquire reference running environment information related to a running environment including at least one of an air quality, an altitude, a temperature, and a humidity of a running route of a specific runner, a matching runner selection receiving unit configured to receive, from the specific runner, a request for selection of a matching runner who is to have a running match with the specific runner, and a runner matching unit configured to, when a request for runner matching is made to the matching runner selection receiving unit, provide the matching runner, wherein the matching runner has a running environment that is in accordance with the reference running environment information.

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 a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle from a forward direction.

An apparatus, system and method for exercise tracking that comprises at least one mother unit, equipment tag, base unit, and RF user tag. The mother unit comprises equipment tag reader and sensor and is joined to an equipment in a gym. The tag is placed on the equipment and in communication with the mother unit. The base unit comprises a RFID reader. A plurality of mother units is in communication with the base unit. The RF and GPS enabled user tag is provided and joined to user in gym and in communication with the mother unit. The apparatus is a substantially hands-free. User profile and user exercise data is captured. A computer system in communication with the base unit is provided. Data captured by the mother unit is communicated to and analyzed by the computer system, and feedback communicated to the mother unit is communicated to user.

An activity recording data processing apparatus is provided. This apparatus includes an operation unit configured to acquire data obtained for a series of activity and action estimation information on the series of activity, the action estimation information being associated with the data; extract partial data of the data based on the action estimation information; and perform clustering of the extracted partial data.

According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

The technology disclosed here involves classifying activity data based on inactivity types. An example method involves receiving, by a processor, activity data of one or more sensors, the activity data comprising a plurality of sensor measurements associated with multiple parameters monitored during an activity session of a user; retrieving a set of criteria that comprises thresholds to detect a plurality of inactivity types, wherein the set comprises a criterion related to a physical activity; classifying, by the processor based on the set of criteria, the received activity data of the one or more sensors into one or more segments, wherein the one or more segments comprise a segment comprising a portion of the activity data corresponding to an inactivity type of the plurality of inactivity types; and generating output based on the classifying.