Type

Journal Article

Authors

Noel E. O'Connor
David Monaghan
Edmond Mitchell

Subjects

Computer Science

Topics
machine learning algorithms accelerometry hockey instrumentation humans smartphone prevalence family wavelet transform approaches sport accelerometers wavelet analysis technology soccer sports football classification cell phones sports sciences

Classification of sporting activities using smartphone accelerometers (2013)

Abstract In this paper we present a framework that allows for the automatic identification of sporting activities using commonly available smartphones. We extract discriminative informational features from smartphone accelerometers using the Discrete Wavelet Transform (DWT). Despite the poor quality of their accelerometers, smartphones were used as capture devices due to their prevalence in today’s society. Successful classification on this basis potentially makes the technology accessible to both elite and non-elite athletes. Extracted features are used to train different categories of classifiers. No one classifier family has a reportable direct advantage in activity classification problems to date; thus we examine classifiers from each of the most widely used classifier families. We investigate three classification approaches; a commonly used SVM-based approach, an optimized classification model and a fusion of classifiers. We also investigate the effect of changing several of the DWT input parameters, including mother wavelets, window lengths and DWT decomposition levels. During the course of this work we created a challenging sports activity analysis dataset, comprised of soccer and field-hockey activities. The average maximum F-measure accuracy of 87% was achieved using a fusion of classifiers, which was 6% better than a single classifier model and 23% better than a standard SVM approach.
Collections Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> Subject = Medical Sciences
Ireland -> Dublin City University -> Subject = Medical Sciences: Sports sciences
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Noel E. O'Connor, David Monaghan, Edmond Mitchell

Experts in our system

1
Noel E. O'Connor
Dublin City University
Total Publications: 449
 
2
David Monaghan
Dublin City University
Total Publications: 41
 
3
Edmond Mitchell
Dublin City University
Total Publications: 13