Conference Proceedings


Brian Caulfield
Matthew Patterson


Physiotherapy & Sport

wireless sensor networks ankle reactive strength index rsi athletic shoes technological innovations shoes and clothing motion sensors accelerometers muscle strength testing technological innovations accelerometer athletic performance feature extraction force plate algorithm development

A method for monitoring reactive strength index (2010)

Abstract Ubiquitous 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.
Collections Ireland -> University College Dublin -> Institutes and Centres
Ireland -> University College Dublin -> CLARITY Research Collection
Ireland -> University College Dublin -> College of Science
Ireland -> University College Dublin -> CLARITY: Centre for Sensor Web Technologies
Ireland -> University College Dublin -> School of Computer Science
Ireland -> University College Dublin -> Computer Science Research Collection

Full list of authors on original publication

Brian Caulfield, Matthew Patterson

Experts in our system

Brian Caulfield
University College Dublin
Total Publications: 331
Matthew Patterson
University College Dublin
Total Publications: 21