Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data. Issue 24 (17th December 2017)
- Record Type:
- Journal Article
- Title:
- Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data. Issue 24 (17th December 2017)
- Main Title:
- Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data
- Authors:
- Sweeting, Alice J.
Aughey, Robert J.
Cormack, Stuart J.
Morgan, Stuart - Abstract:
- ABSTRACT: Athlete external load is typically analysed from predetermined movement thresholds. The combination of movement sequences and differences in these movements between playing positions is also currently unknown. This study developed a method to discover the frequently recurring movement sequences across playing position during matches. The external load of 12 international female netball athletes was collected by a local positioning system during four national-level matches. Velocity, acceleration and angular velocity were calculated from positional (X, Y) data, clustered via one-dimensional k -means and assigned a unique alphabetic label. Combinations of velocity, acceleration and angular velocity movement were compared using the Levenshtein distance and similarities computed by the longest common substring problem. The contribution of each movement sequence, according to playing position and relative to the wider data set, was then calculated via the Minkowski distance. A total of 10 frequently recurring combinations of movement were discovered, regardless of playing position. Only the wing attack, goal attack and goal defence playing positions are closely related. We developed a technique to discover the movement sequences, according to playing position, performed by elite netballers. This methodology can be extended to discover the frequently recurring movements within other team sports and across levels of competition.
- Is Part Of:
- Journal of sports sciences. Volume 35:Issue 24(2017)
- Journal:
- Journal of sports sciences
- Issue:
- Volume 35:Issue 24(2017)
- Issue Display:
- Volume 35, Issue 24 (2017)
- Year:
- 2017
- Volume:
- 35
- Issue:
- 24
- Issue Sort Value:
- 2017-0035-0024-0000
- Page Start:
- 2439
- Page End:
- 2445
- Publication Date:
- 2017-12-17
- Subjects:
- Netball -- WASP -- data mining -- activity profile
Sports -- Periodicals
Sports -- Physiological aspects -- Periodicals
Sports -- Psychological aspects -- Periodicals
612.044 - Journal URLs:
- http://www.tandfonline.com/toc/rjsp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02640414.2016.1273536 ↗
- Languages:
- English
- ISSNs:
- 0264-0414
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5066.350000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4562.xml