WeSport: Utilising wrist-band sensing to detect player activities in basketball games

Lu Bai, Christos Efstratiou, Chee Siang Ang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Wristbands have been traditionally designed to track the activities of a single person. However there is an opportunity to utilize the sensing capabilities of wristbands to offer activity tracking services within the domain of team-based sports games. In this paper we demonstrate the design of an activity tracking system capable of detecting the players' activities within a one-to-one basketball game. Relying on the inertial sensors of wristbands and smartphones, the system can capture the shooting attempts of each player and provide statistics about their performance. The system is based on a two-level classification architecture, combining data from both players in the game. We employ a technique for semi-automatic labeling of the ground truth that requires minimum manual input during a training game. Using a single game as a training dataset, and applying the classifier on future games we demonstrate that the system can achieve a good level of accuracy detecting the shooting attempts of both players in the game (precision 91.34%, recall 94.31%).

LanguageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509019410
DOIs
Publication statusPublished - 19 Apr 2016
Event13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
CountryAustralia
CitySydney
Period14/03/1618/03/16

Fingerprint

Smartphones
Sports
Labeling
Classifiers
Statistics
Sensors

Keywords

  • Accelerometer
  • Activity monitoring
  • Classification
  • Wearable Sensors

Cite this

Bai, L., Efstratiou, C., & Ang, C. S. (2016). WeSport: Utilising wrist-band sensing to detect player activities in basketball games. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 [7457167] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2016.7457167
Bai, Lu ; Efstratiou, Christos ; Ang, Chee Siang. / WeSport : Utilising wrist-band sensing to detect player activities in basketball games. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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Bai, L, Efstratiou, C & Ang, CS 2016, WeSport: Utilising wrist-band sensing to detect player activities in basketball games. in 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016., 7457167, Institute of Electrical and Electronics Engineers Inc., 13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, Sydney, Australia, 14/03/16. https://doi.org/10.1109/PERCOMW.2016.7457167

WeSport : Utilising wrist-band sensing to detect player activities in basketball games. / Bai, Lu; Efstratiou, Christos; Ang, Chee Siang.

2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7457167.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bai L, Efstratiou C, Ang CS. WeSport: Utilising wrist-band sensing to detect player activities in basketball games. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7457167 https://doi.org/10.1109/PERCOMW.2016.7457167