How to read HackMotion data in graphs

Watch the video to learn how to read HackMotion data in graphs: 
1) Start by selection only one parameter, for example, flexion/extension, to fully understand the motion.
2) Then proceed to radial/ulnar deviation and rotation separately.
3) Once you have analyzed individual parameters, look at all lines together to understand how the sequence how wrist motion develops.

The demonstration is based on a typical Tour player pattern, that can serve as a good example for learning. Note that absolute numbers can differ depending on grip strength, focus more on the pattern.

Contents:
1) Looking at flexion/extension: 00:00
2) Radial/ulnar deviation: 02:10
3) Explanation of global rotation: 03:10
4) At all lines together: 06:09

What’s next?

How to start optimization with HackMotion

A simple example how to use HackMotion to start optimizing wrist motion and improve clubface control

How to use HackMotion biofeedback

Lear to set up and use immediate feedback for slow rehearsals and after shot feedback for reinforcement learning.

Ready to Try HackMotion Sensor?

The HackMotion wrist sensor in front of various devices showing data in the HackMotion app
  • HackMotion sensor is used by world’s leading coaches – Phil Kenyon, Allen Terrell, Scott Cowx, Mark Blackburn, David Orr, Brian Manzella, Mike Schy and many others. Join the rank of the most the educated coaches.
  • PGA Tour winners Dustin Johnson, Bryson Dechambeau, Brad Faxon and European Tour winners Thorbjorn Olesen, Lucas Bjerregaard and many others have used it to measure and optimize their wrist motion.
  • Access tour player data and compare your data against it. Find out your release pattern and optimize your performance.
  • Audio feedback helps to fix common swing faults – too much wrist cupping (extension) in full swing causing open club face and inconsistent wrist angles in your putting stroke.

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