AI and Outdoor Activity

By Susan Gonzales on 11/15/2024 @ 06:39 AM

AI and Outdoor Activity - There are several exercise apps, but I use Strava, which leverages artificial intelligence (AI) to enhance user experience and data analysis in several key areas. Understanding how exercise apps work is part of AI literacy. The more we know and share, the more we can use AI safely.

1. Athlete Intelligence

Strava's "Athlete Intelligence" is an AI-powered feature that provides personalized insights based on users' activity data. It analyzes workout metrics—such as pace, heart rate, elevation, and power—and translates them into simple, personalized insights and guidance. This helps athletes of all levels understand their performance and progress. This feature offers summaries immediately after uploading activities like runs, rides, walks, or hikes. It is very helpful if you are trying to improve your outdoor activity.

2. Leaderboard Integrity

To maintain fair competition on its platform, Strava employs AI to detect and flag suspicious activities that may distort Segment and Challenge leaderboards. By training machine learning models on millions of activities, Strava can identify and address potential instances of data manipulation or inaccuracies, ensuring a level playing field for all users. This is helpful for those seeking a competitive edge. Not me. I'm just having a good time outdoors!

3. Route Suggestions

Strava utilizes AI and machine learning to suggest routes to users based on their preferences and activity history. By analyzing the vast amount of data shared by its community, Strava can recommend personalized routes, helping users discover new paths and optimize their training sessions.

Through these AI-driven features, Strava aims to provide a more personalized, fair, and engaging experience for its global community of athletes and anyone looking for some outdoor fun.

To learn more about Strava and features, visit www.strava.com/features.