Intelligent device mode shifting based on activity

Abstract

A consumer electronics (CE) device has at least first and second user interface (UI) output modes respectively correlated to first and second user activities. The UI output mode is automatically established based on a sensor indicating a user activity correlated to the UI output mode.

Description

[0001]This application claims priority to U.S. provisional patent application Ser. No. 61 / 878,835, filed Sep. 17, 2013.I. FIELD OF THE INVENTION[0002]The present application relates generally to digital ecosystems that are configured for use when engaging in physical activity and / or fitness exercises.II. BACKGROUND OF THE INVENTION[0003]Society is becoming increasingly health-conscious. A wide variety of exercise and workouts are now offered to encourage people to stay fit through exercise. As understood herein, while stationary exercise equipment often comes equipped with data displays for the information of the exerciser, the information is not tailored to the individual and is frequently repetitive and monotonous. As further understood herein, people enjoy listening to music as workout aids but the music typically is whatever is broadcast within a gymnasium or provided on a recording device the user may wear, again being potentially monotonous and unchanging in pattern and beat i...

AI Technical Summary

Benefits of technology

[0005]Present principles recognize that portable aids can be provided to improve exercise performance, provide inspiration, enable the sharing of exercise performance for social reasons, help fulfill a person's exercise goals, analyze and track exercise results, and provide virtual coaching to exercise participants in an easy, intuitive manner.

[0006]Accordingly, multiple sources of information are linked to an individual, to provide accurate, intelligent mode shifting of a device that reads physical activity. Based on intelligent mode shifting, the system automatically can adjust the feedback provided to the individual, such as a visual user interface or audio voice feedback, to be most relevant to the specific activity. Additionally, based on the mode shifting, the user's CE device can activate and inactivate various sensors to optimize device battery life.

[0008]It may now be appreciated that by automating the process of switching between activity-based modes and automatically adjusting the information that is presented to the individual (both the visual user interface, and any audible interface like voice coaching), the user experience is simplified. Furthermore, for accurate activity monitoring, multiple devices can be synchronized to coordinate with each other. For instance, a heart rate monitor in a headphone can be synchronized with a wrist-worn computerized bangle or watch to present heart rate information from the monitor on the bangle or watch. In this way, even if a person has different devices, the activity information can be aggregated into one single account on a cloud service and the aggregation of the information should help to provide a clearer picture than information from a single device or source.

Problems solved by technology

As understood herein, while stationary exercise equipment often comes equipped with data displays for the information of the exerciser, the information is not tailored to the individual and is frequently repetitive and monotonous.

As further understood herein, people enjoy listening to music as workout aids but the music typically is whatever is broadcast within a gymnasium or provided on a recording device the user may wear, again being potentially monotonous and unchanging in pattern and beat in a way that is uncoupled from the actual exercise being engaged in.

To get the information that they typically desire, the individual usually must explicitly input to the system that the individual desires to switch modes, but switching between different dedicated devices is cumbersome.

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