Physiology-Based Models for Fitness and Training with Firstbeat w/ Ilkka Korhonen

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this episode i’m joined by Ilkka Korhonen, Vice President of Technology at Firstbeat, a company whose algorithms are embedded in fitness watches from companies like Garmin and Suunto and which use your heartbeat data to offer personalized insights into stress, fitness, recovery and sleep patterns.

We cover a ton about Firstbeat in the conversation, including how they transform the sensor readings into more actionable data, their use of a digital physiological model of the human body, how they use sensor data to identify and predict physiological changes within the body, and some of the opportunities that Firstbeat has to further apply ML in the future.

Enter Our #MyAI Contest!

In this week’s interviews, our AI in Consumer Electronics series, you’ll hear from some great people who help me explore some of the very cool ways that machine learning and AI are being used to enhance our everyday lives.

A few of these companies have provided us with products to give away, and we’re excited to launch the #MyAI contest. To enter, we want to hear from YOU, about the role AI is playing in your home and your personal life, your favorite example of home/personal AI, and/or where you see it all going. So, fire up your webcam or smartphone camera, and get ready to tell us your story!

We’ll post the videos to Youtube and the video with the most likes wins their choice of great prizes including an Anki Cozmo, a Lighthouse smart home camera, or a Google Home Mini! (First prize gets first pick, second prize gets second pick, etc.) Submissions will be open through Feb 11th, and voting will remain open through Feb 18th.

Thanks to our sponsor!

I’d like to thank our friends at Intel AI for their continued support of the podcast. Intel was extremely active at this year’s CES, with a bunch of AI, autonomous driving and VR related announcements. One of the more interesting partnerships announced was a collaboration with the Ferrari Challenge North America race series. Along with the folks at Ferrari Challenge, Intel AI aspires to make the racing viewing experience more personalized by using deep computer vision to detect and monitor individual race cars via camera feeds, and allowing viewers choose the specific car’s feeds that they’d like to watch. Look for my conversation with Intel’s Andy Keller and Emile Chin-Dickey, episode 104 in this series, for an in-depth discussion about this project, and be sure to visit where you’ll find Andy’s technical blog post on the topic!

And of course, be sure to check out some of the great names that will be at the AI Conference in New York, Apr 29–May 2, where you’ll join the leading minds in AI, Peter Norvig, George Church, Olga Russakovsky, Manuela Veloso, and Zoubin Ghahramani. Explore AI’s latest developments, separate what’s hype and what’s really game-changing, and learn how to apply AI in your organization right now. Save 20% on most passes with discount code PCTWIML. Early price ends February 2!

About Ilkka

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

  • Sofia Boesen

    The study used Firstbeat Sports to measure training load and nocturnal Bodyguard 2 measurements to assess recovery in Portuguese female soccer players. The study found that late-night soccer training did not affect HRV during estimated SWS or hour-by-hour, but it elevated heart rate during the first three sleeping hours.

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