Patterson, MatthewMatthewPattersonCaulfield, BrianBrianCaulfield2011-05-262011-05-262010 Elsev2010-06Procedia Engineering1877-7058http://hdl.handle.net/10197/2955Paper presented at Engineering emotion : the 8th Conference of the International Sports Engineering Association, Vienna, July 12-16 2010Ubiquitous motion sensors in shoes and clothing are becoming more prevalent. This new data stream opens a large opportunity to gain a deeper understanding of human movement. This paper describes the development and validation of an algorithm to calculate reactive strength index (RSI) from an accelerometer mounted at the ankle. Compared to the gold standard force-plate, the accelerometer and algorithm RSI had r = 0.98, mean difference = 0.001 m/sec and a confidence interval ranging from 0.12 to -0.11 m/sec. Difficulty in accurately identifying take-off using the accelerometer was the main source of measurement error.1205448 bytesapplication/octet-streamenThis is the author's version of a work that was accepted for publication in Procedia Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Volume 2, Issue 2, June 2010, Pages 3115-3120.Motion sensorsShoes and clothingReactive strength index (RSI)AnkleAccelerometerFeature extractionAlgorithm developmentForce plateAthletic performanceMuscle strength--Testing--Technological innovationsAthletic shoes--Technological innovationsWireless sensor networksAccelerometersConference Publication223115312010.1016/j.proeng.2010.04.120https://creativecommons.org/licenses/by-nc-sa/1.0/