Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball

This study aimed to develop an automated method to detect live play periods from accelerometry-derived relative exercise intensity in basketball, and to assess the criterion validity of this method. Relative exercise intensity (% oxygen uptake reserve) was quantified for two men's semi-professi...

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Bibliographic Details
Main Authors: Bini, R. (Author), Kingsley, M. (Author), Palmer, J. (Author), Wundersitz, D. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02223nam a2200229Ia 4500
001 10.3389-fspor.2021.716014
008 220427s2021 CNT 000 0 und d
020 |a 26249367 (ISSN) 
245 1 0 |a Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball 
260 0 |b Frontiers Media S.A.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3389/fspor.2021.716014 
520 3 |a This study aimed to develop an automated method to detect live play periods from accelerometry-derived relative exercise intensity in basketball, and to assess the criterion validity of this method. Relative exercise intensity (% oxygen uptake reserve) was quantified for two men's semi-professional basketball matches. Live play period durations were automatically determined using a moving average sample window and relative exercise intensity threshold, and manually determined using annotation of video footage. The sample window duration and intensity threshold were optimised to determine the input parameters for the automated method that would result in the most similarity to the manual method. These input parameters were used to compare the automated and manual active play period durations in another men's semi-professional match and a women's professional match to assess the criterion validity of the automated method. The optimal input parameters were a 9-s sample window and relative exercise intensity threshold of 31% oxygen uptake reserve. The automated method showed good relative (ρ = 0.95–0.96 and ICC = 0.96–0.98, p < 0.01) and absolute (median bias = 0 s) agreement with the manual method. These findings support the use of an automated method using accelerometry-derived relative exercise intensity and a moving average sample window to detect live play periods in basketball. Copyright © 2021 Palmer, Bini, Wundersitz and Kingsley. 
650 0 4 |a accelerometer 
650 0 4 |a accelerometry 
650 0 4 |a active play demands 
650 0 4 |a AvFNET 
650 0 4 |a relative exercise intensity 
700 1 |a Bini, R.  |e author 
700 1 |a Kingsley, M.  |e author 
700 1 |a Palmer, J.  |e author 
700 1 |a Wundersitz, D.  |e author 
773 |t Frontiers in Sports and Active Living