Systems, methods and computer-readable media are provided for determining an effective altitude in relation to a moving sports object. In some examples, a method includes determining respective values for an air temperature, an air pressure, and a relative humidity of an environment of interest. Based on the determined respective values of the air temperature, the air pressure, and the relative humidity, an air density for the environment of interest is calculated to derive a first air density value. A second air density value is derived for a reference environment. An absolute value of a difference between the first and second air densities is compared against a preset comparison value and, based on the comparison being equal to or smaller than the preset comparison value, an output including an indicator of the effective altitude is generated.

Improved techniques and systems are disclosed for determining the components of resistance experienced by a wearer of a wearable device engaged in an activity such as bicycling or running. By monitoring data using the wearable device, improved estimates can be derived for various factors contributing to the resistance experienced by the user in the course of the activity. Using these improved estimates, data sampling rates may be reduced for some or all of the monitored data.

In an approach for providing dynamic services a computer receives a dietary plan for an individual. The computer tracks physical activity data for the individual. The computer creates one or more propositions for the individual based at least in part on the received dietary plan and the tracked physical activity data. The computer provides the created one or more propositions to the individual. The computer receives a selection from the created one or more propositions. The computer tracks the received selection.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (GPS) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

A martial arts target handle comprising; (a) an accelerometer providing a first data output signal; (b) an altimeter providing a second data output signal; (c) a CPU receiving and storing said first and second data output signals; and (d) a power source providing power said accelerometer, altimeter and CPU.

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.

Techniques are disclosed to enable relative performance measurement of a cyclist by way of an electronic device for use in connection with a bicycle. The electronic device determines and communicates an exertion level and a corresponding actual performance metric achieved by a cyclist based on movement characteristics of the bicycle and whether the cyclist's shoes are clipped into pedals on the bicycle. The device uses sensors for determining the movement characteristics of the bicycle in connection with a memory element and a processing element. The processing element ascertains a pedal clip status event based on the movement characteristics of the bicycle, and the device displays information about the exertion level of the cyclist as correlated with the actual bicycle performance metrics.

The present disclosure relates to systems and methods of estimating energy expenditure of a user while swimming. A processor circuit of a user device can estimate a speed of the user based on a stroke rate and a stroke length. The processor circuit can estimate an efficiency of the user. The processor circuit can classify a swimming style of the user. The processor circuit can determine energy expenditure of the user based on the speed, the efficiency, and the style. The processor circuit can also detect glides of the user and adjust the energy expenditure.

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 a from a forward direction.

Provided is a method for controlling a wearable device. The method includes acquiring a first time stamp, where the first time stamp is a time at which a user starts climbing; calculating a single-lap climbing altitude of the user according to data of a barometer; acquiring a second time stamp according to a preset single-lap altitude and the single-lap climbing altitude; calculating a climbing time according to the first time stamp and the second time stamp; and calculating a single-lap vertical velocity according to the climbing time and the single-lap altitude.