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Activity recognition of local muscular endurance (LME) exercises using an inertial sensor

Prabhu, Ghanashyama, Ahmadi, Amin, O'Connor, Noel E. and Moran, Kieran (2017) Activity recognition of local muscular endurance (LME) exercises using an inertial sensor. In: 11th International Symposium on Computer Science in Sport 2017, 6-9 Sep 2017, Konstanz, Germany. ISBN 978-3-319-67845-0

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Abstract

In this paper, we propose an algorithmic approach for a motion analysis framework to automatically recognize local muscular endurance (LME) exercises and to count their repetitions using a wrist-worn inertial sensor. LME exercises are prescribed for cardiovascular disease rehabilitation. As a technical solution, we propose activity recognition based on machine learning. We developed an algorithm to automatically segment the captured data from all participants. Relevant time and frequency domain features were extracted using a sliding window technique. Principal component analysis (PCA) was applied for dimensionality reduction of the extracted features. We trained 15 binary classifiers using support vector machine (SVM) to recognize individual LME exercises, achieving overall accuracy of more than 98%. We applied grid search technique to obtain the optimal SVM hyperplane parameters. The learning curves (mean ± stdev) for each model is investigated to verify that the models were not over-tted and performed well on any new test data. Also, we devised a method to count the repetitions of the upper body exercises.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Local Muscular Endurance; Human Activity Recognition; Cardiovascular Disease;Principle Component Analysis; Support Vector Machine
Subjects:Computer Science > Machine learning
Engineering > Signal processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Lames, Martin and Saupe, Dietmar and Wiemeyer, Josef, (eds.) Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). Advances in Intelligent Systems and Computing 633. Springer International Publishing. ISBN 978-3-319-67845-0
Publisher:Springer International Publishing
Official URL:https://doi.org/10.1007/978-3-319-67846-7_4
Copyright Information:© 2018 Springer International Publishing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland Grant No. SFI/12/RC/2289
ID Code:21887
Deposited On:06 Sep 2017 11:55 by Ghanashyama Prabhu . Last Modified 19 Jul 2018 15:11

Available Versions of this Item

  • Activity recognition of local muscular endurance (LME) exercises using an inertial sensor. (deposited 06 Sep 2017 11:55) [Currently Displayed]
    • Activity recognition of local muscular endurance (LME) exercises using an inertial sensor. (deposited 10 Oct 2017 13:33)

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