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Basketball Activity Recognition using Wearable Inertial Measurement Units

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Published:07 September 2015Publication History

ABSTRACT

The analysis and evaluation of human movement is a growing research area within the field of sports monitoring. This analysis can help support the enhancement of an athlete's performance, the prediction of injuries or the optimization of training programs. Although camera-based techniques are often used to evaluate human movements, not all movements of interest can be analyzed or distinguished effectively with computer vision only. Wearable inertial systems are a promising technology to address this limitation. This paper presents a new wearable sensing system to record human movements for sports monitoring. A new paradigm is presented with the purpose of monitoring basketball players with multiple inertial measurement units. A data collection plan has been designed and implemented, and experimental results show the potential of the system in basketball activity recognition.

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    • Published in

      cover image ACM Other conferences
      Interacción '15: Proceedings of the XVI International Conference on Human Computer Interaction
      September 2015
      287 pages
      ISBN:9781450334631
      DOI:10.1145/2829875

      Copyright © 2015 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 September 2015

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      Overall Acceptance Rate109of163submissions,67%

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