BACKGROUND

Modern technology has given rise to a wide variety of different electronic and/or communication devices that keep users in touch with one another, entertained, and informed. A wide variety of portable electronic devices are available for these purposes, such as: cellular telephones; personal digital assistants (“PDAs”); pagers; beepers; MP3 or other audio playback devices; radios; portable televisions, DVD players, or other video playing devices; watches; GPS systems; etc. Many people like to carry one or more of these types of devices with them when they exercise and/or participate in athletic events, for example, to keep them in contact with others (e.g., in case of inclement weather, injuries; or emergencies; to contact coaches or trainers; etc.), to keep them entertained, to provide information (time, direction, location, and the like).

Athletic performance monitoring systems also have benefited from recent advancements in electronic device and digital technology. Electronic performance monitoring devices allow for monitoring of many physical or physiological characteristics associated with exercise or other athletic performances, including, for example: speed and distance data, altitude data, GPS data, heart rate, pulse rate, blood pressure data, body temperature, etc. Specifically, these athletic performance monitoring systems have benefited from recent advancements in microprocessor design, allowing increasingly complex computations and processes to be executed by microprocessors of successively diminutive size. These modern microprocessors may be used for execution of activity recognition processes, such that a sport or activity that is being carried out by an athlete can be recognized, and information related to that sport or activity can be analyzed and/or stored. However, in some instances, interaction with these performance monitoring systems may be cumbersome, and require an athlete to make on-device selections using an array of buttons typical of a conventional computer system or portable electronic device. For an athlete performing an athletic activity, it may prove distracting, uncomfortable, or unfeasible to interact with a performance monitoring system, and make selections in relation to the functionality of the system in a conventional manner. Additionally, these systems are often powered by limited power sources, such as rechargeable batteries, such that a device may be worn by an athlete to allow for portable activity monitoring and recognition. As the computations carried out by athletic performance monitoring systems have become increasingly complex, the power consumption of the integral microprocessors carrying out the computations has increased significantly. Consequently, the usable time between battery recharges has decreased. Accordingly, there is a need for more efficient systems and methods for interacting with an athletic performance monitoring device, and for prolonging the battery life of athletic performance monitoring systems.

Aspects of this disclosure are directed towards novel systems and methods that address one or more of these deficiencies. Further aspects relate to minimizing other shortcomings in the art

SUMMARY

The following presents a simplified summary of the present disclosure in order to provide a basic understanding of some aspects of the invention. This summary is not an extensive overview of the invention. It is not intended to identify key or critical elements of the invention or to delineate the scope of the invention. The following summary merely presents some concepts of the invention in a simplified form as a prelude to the more detailed description provided below.

Aspects of the systems and methods described herein relate to non-transitory computer-readable media with computer-executable instructions for receiving acceleration data into a gesture recognition processor in a device. The device may be positioned on an appendage of a user, and operate according to a first operational mode. The received acceleration data may represent movement of an appendage of the user, and may be classified as a gesture. Upon classification, the device may be operated according to a second operational mode, wherein the second operational mode is selected based on the classified gesture.

In another aspect, this disclosure relates to an apparatus configured to be worn on an appendage of a user, including a sensor configured to capture acceleration data, a gesture recognition processor, and activity processor. The apparatus further includes a non-transitory computer-readable medium comprising computer-executable instructions for classifying captured acceleration data as a gesture, and selecting an operational mode for the activity processor based on the classified gesture.

In yet another aspect, this disclosure relates to non-transitory computer-readable media with computer-executable instructions that when executed by a processor is configured to receive motion data from a sensor on a device, identify or select a gesture from the data, and adjust an operational mode of the device based on the identified gesture.

This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. The Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

