A method for monitoring reactive strength index
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ISEA_Patterson_paper_submission_1_camera_ready2.docx | 1.18 MB | docx, this is the most recent Word format. | Download |
Title: | A method for monitoring reactive strength index | Authors: | Patterson, Matthew Caulfield, Brian |
Permanent link: | http://hdl.handle.net/10197/2955 | Date: | Jun-2010 | Online since: | 2011-05-26T12:02:42Z | 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. | Funding Details: | Science Foundation Ireland | Type of material: | Conference Publication | Publisher: | Elsevier | Journal: | Procedia Engineering | Volume: | 2 | Issue: | 2 | Start page: | 3115 | End page: | 3120 | Copyright (published version): | 2010 Elsevier Ltd | Keywords: | Motion sensors; Shoes and clothing; Reactive strength index (RSI); Ankle; Accelerometer; Feature extraction; Algorithm development; Force plate; Athletic performance | Subject LCSH: | Muscle strength--Testing--Technological innovations Athletic shoes--Technological innovations Wireless sensor networks Accelerometers |
DOI: | 10.1016/j.proeng.2010.04.120 | Other versions: | http://dx.doi.org/10.1016/j.proeng.2010.04.120 | Language: | en | Status of Item: | Peer reviewed | Conference Details: | Paper presented at Engineering emotion : the 8th Conference of the International Sports Engineering Association, Vienna, July 12-16 2010 |
Appears in Collections: | CLARITY Research Collection Computer Science Research Collection |
Show full item record
SCOPUSTM
Citations
50
6
Last Week
0
0
Last month
checked on Feb 11, 2019
Page view(s) 1
1,234
Last Week
3
3
Last month
checked on Feb 17, 2019
Download(s) 5
2,210
checked on Feb 17, 2019
Google ScholarTM
Check
Altmetric
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.