View source for 18118702. AUTOMATIC EXERCISE ROUTE DETECTION simplified abstract (Apple Inc.)

=AUTOMATIC EXERCISE ROUTE DETECTION=


==Organization Name==

[[:Category:Apple Inc.|Apple Inc.]]


[[Category:Apple Inc.]]

==Inventor(s)==

[[:Category:Kenneth M. Pesyna, Jr. of San Jose CA (US)|Kenneth M. Pesyna, Jr. of San Jose CA (US)]][[Category:Kenneth M. Pesyna, Jr. of San Jose CA (US)]]

[[:Category:Christina Selle of Los Altos CA (US)|Christina Selle of Los Altos CA (US)]][[Category:Christina Selle of Los Altos CA (US)]]

==AUTOMATIC EXERCISE ROUTE DETECTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18118702 titled 'AUTOMATIC EXERCISE ROUTE DETECTION

The subject system described in the patent application involves a processor determining a user's location within a pre-defined exercise route, receiving information about a specific segment of the route, and retrieving exercise route data.

* Processor identifies user location within a pre-defined exercise route
* Receives indication of a specific segment within the route
* Retrieves exercise route data for the pre-defined route
* Exercise route data includes pre-determined distance information for the segment
* Processor correlates user location data to distance information for the segment
* Generates segment-matched location data
* Provides exercise metric based on the segment-matched location data

Potential Applications:
- Fitness tracking applications
- Personalized exercise programs
- Location-based challenges and competitions

Problems Solved:
- Monitoring user progress along specific exercise routes
- Providing accurate distance and location data for exercise tracking

Benefits:
- Enhanced user experience during exercise
- Improved accuracy in tracking fitness goals
- Customized exercise metrics based on user performance

Commercial Applications:
Title: "Location-Based Fitness Tracking Technology for Personalized Exercise Programs"
This technology could be utilized by fitness tracking companies to offer personalized exercise programs based on user location and performance data. It could also be integrated into mobile apps for fitness enthusiasts looking to track their progress along specific exercise routes.

Questions about the technology:
1. How does the processor determine the user's location within the pre-defined exercise route?
2. What are the potential privacy concerns associated with tracking user location for exercise purposes?


==Original Abstract Submitted==

The subject system may be implemented by at least one processor configured to determine that a location of a user is within a bounding box corresponding to a pre-defined exercise route, receive an indication of a pre-defined segment corresponding to the pre-defined exercise route, and retrieve exercise route data for the pre-defined exercise route. The exercise route data may include pre-determined distance information corresponding to the pre-defined segment of the pre-defined exercise route. The at least one processor may be further configured to receive user location data corresponding to a traversal of the pre-defined segment, generate segment-matched location data by correlating the user location data to the pre-determined distance information corresponding to the pre-defined segment, and provide an exercise metric determined based at least in part on the segment-matched location data.



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