US 11,872,446 B2
Low impact running
Dirk De Clercq, Sint-Niklaas (BE); Marc Leman, Zwevezele (BE); Joren Six, Gentbrugge (BE); Valerio Lorenzoni, Ghent (BE); Joeri Gerlo, Ghent (BE); and Pieter Van Den Berghe, Ghent (BE)
Assigned to UNIVERSITEIT GENT, Ghent (BE)
Appl. No. 17/252,589
Filed by UNIVERSITEIT GENT, Ghent (BE)
PCT Filed Jun. 25, 2019, PCT No. PCT/EP2019/066738
§ 371(c)(1), (2) Date Dec. 15, 2020,
PCT Pub. No. WO2020/002275, PCT Pub. Date Jan. 2, 2020.
Claims priority of application No. 18180427 (EP), filed on Jun. 28, 2018.
Prior Publication US 2021/0252338 A1, Aug. 19, 2021
Int. Cl. A63B 24/00 (2006.01); G16H 20/30 (2018.01)
CPC A63B 24/0062 (2013.01) [G16H 20/30 (2018.01); A63B 2024/0078 (2013.01); A63B 2220/17 (2013.01); A63B 2220/30 (2013.01); A63B 2220/53 (2013.01); A63B 2225/50 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for gait retraining of a runner, the method comprising
measuring acceleration data of at least one lower leg of the runner using a sensor which is adapted for monitoring external impact shocks;
diagnosing the acceleration data using a processing unit, thereby determining a measure of the impact intensity of at least one external tibial shock;
and providing real-time feedback to the runner using an interface unit by converting the measure of the impact intensity into distortion of music to a level which is perceived by the runner as a measure for the impact intensity whereby, for the distortion, a sound type is continuously added to the music,
wherein the conversion is done based on a predefined relationship between perceived distortion levels and imposed distortion levels,
wherein the sound type is pink noise,
wherein the predefined relationship is an exponential fit, and
wherein the runner aims to reduce the distortion of the music by adjusting his or her gait.