6533b853fe1ef96bd12ac16b

RESEARCH PRODUCT

Pattern recognition in cyclic and discrete skills performance from inertial measurement units

John KomarLudovic SeifertYanis CarituFlorian MellMaxime L’hermettePierre MerriauxRomain HéraultVladislavs DovgalecsDominic OrthPierre GrenetKeith DavidsKeith Davids

subject

Engineeringcoordination dynamics03 medical and health sciencesUnits of measurement0302 clinical medicine[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Inertial measurement unitCompassmovement variability ;BreaststrokeComputer visionta315Engineering(all)ComputingMilieux_MISCELLANEOUSRank correlationOrientation (computer vision)business.industryinertial measurement unitPattern recognition030229 sport sciencesGeneral MedicineClimbingPattern recognition (psychology)Artificial intelligencebusiness030217 neurology & neurosurgery

description

The aim of this study is to compare and validate an Inertial Measurement Unit (IMU) relative to an optic system, and to propose methods for pattern recognition to capture behavioural dynamics during sport performance. IMU validation was conducted by comparing the motions of the two arms of a compass, which was equipped with IMUs and reflective landmarks detected by a multi-camera system. Spearman’s rank correlation tests showed good correlations between the IMU and multi-camera system, especially when the angles were normalized. Bland-Altman plot, root mean square and the normalized pairwise variability index showed low differences between the two systems, confirming the good accuracy levels of the IMUs. Regarding pattern recognition, joint angle and limb orientation was respectively studied for 25 m during breaststroke swimming and 10 m of indoor rock climbing in athletes of various skill levels. Pattern recognition was also conducted on a macroscopic parameter that captured inter-limb coordination. IMUs revealed the potential to assess movement and coordination variability between and within individuals from joint angle measures in swimming and limb orientation time-series data in climbing. peerReviewed

yearjournalcountryeditionlanguage
2014-01-01
http://urn.fi/URN:NBN:fi:jyu-201411263380