Title :
Design and Implementation of an Integrated Performance Monitoring Tool for Swimming to Extract Stroke Information at Real Time
Author :
Chakravorti, N. ; Le Sage, T. ; Slawson, S.E. ; Conway, Paul P. ; West, Andrew A.
Author_Institution :
Dept. of Mech. & Manuf. Eng., Loughborough Univ., Loughborough, UK
fDate :
3/1/2013 12:00:00 AM
Abstract :
Current methods used to monitor performance for swimming do not offer real-time feedback to coaches and significantly increase post session analysis times. The aim of the research outlined in this paper is to design and implement a novel performance analysis tool to measure swimmer performance using wireless technology previously developed at Loughborough University. The Computer Integrated Manufacturing Open System Architecture (CIMOSA) has been coupled with a software architecture based on object-oriented techniques to formalize and structure the development of a computer integrated real-time monitoring system. Filtering and signal-processing algorithms are applied to extract performance indicators in real time, hence allowing faster access of feedback that can be used to enhance the swimming performance during each training session.
Keywords :
object-oriented programming; signal processing; software architecture; sport; CIMOSA; Loughborough University; computer integrated real-time monitoring system; filtering algorithm; object-oriented techniques; performance monitoring; post session analysis; real time stroke information extraction; signal-processing algorithm; software architecture; swimming; wireless technology; Accelerometers; Computer architecture; Monitoring; Performance evaluation; Real-time systems; Software; Software architecture; Computer Integrated Manufacture Open System Architecture (CIMOSA); object oriented (OO); signal processing;
Journal_Title :
Human-Machine Systems, IEEE Transactions on
DOI :
10.1109/TSMC.2012.2235428