LEO: A Smart Wearable With A Data Driven Recommendation Engine

Within several days, GestureLogic reached its Indiegogo funding goal on their first device, LEO. LEO isn’t just another wearable device that counts your steps or tracks motions. LEO measures biosignals (such as muscle activity and lactic acid levels) to calculate exertion – giving users recommendations on how to workout more efficiently and telling athletes when they are pushing too hard. Knowing when to stop or tone down the intensity helps avoid potential injuries. LEO’s feedback loop makes it an invaluable fitness tool. As the wearer changes intensity and speed, so does the real-time feedback from LEO – urging the user to push harder or continue to taper. LEO tracks your physical starting point, noting each specific user’s unique physiology, and sets goals based on these metrics. While it may be obvious that two different bodies with two different weights and peak heart rates should have two different workout plans even if the end goal (say losing 10 lbs) is the same – not many wearables are able to tailor workout routines like LEO can.

LEO’s key capabilities include:

  • Tracking muscle activity, hydration, lactic acid levels, heart rate, and movement
  • Providing education and advice throughout a user’s workout with simple and actionable recommendations
  • Identifying signs of future injury and recommending ways to avoid it
  • Improve training with intuitive visualizations with the raw data available
  • Competing with friends, comparing workouts with pro athletes and networking with the local fitness community

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One thought on “LEO: A Smart Wearable With A Data Driven Recommendation Engine

  1. […] efficiently you are working out at the gym. Some of these sensors are wrist wearable, like PUSH and LEO, some are built into smart fabrics like Athos, and some are additions to mobile devices like […]

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