Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Classifying Human Activities with Temporal Extension of Random Forest Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Echo State Network Ensemble for Human Motion Data Temporal Phasing: A Case Study on Tennis Forehands

Author : Boris Bačić

Published in: Neural Information Processing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Temporal phasing analysis is integral to ubiquitous/“smart” coaching devices and sport science. This study presents a novel approach to autonomous temporal phasing of human motion from captured tennis activity (3D data, 66 time-series). Compared to the optimised Echo State Network (ESN) model achieving 85 % classification accuracy, the ESN ensemble system demonstrates improved classification of 95 % and 100 % accurate phasing state transitions for previously unseen motions without requiring ball impact information. The ESN ensemble model is robust to low-sampling rates (50 Hz) and unbalanced data sets containing incomplete data time-series. The demonstrated achievements are applicable to exergames, augmented coaching and rehabilitation systems advancements by enabling automated qualitative analysis of motion data and generating feedback to aid motor skill and technique improvements.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Classifying Human Activities with Temporal Extension of Random Forest
next chapter Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks
Literature
1.
2.
Bačić, B.: Bridging the gap between biomechanics and artificial intelligence. In: XXIV International Symposium on Biomechanics in Sports - ISBS 2006, Salzburg, Austria, pp. 371–374 (2006)
3.
Bacic, B.: Evolving connectionist systems for adaptive sports coaching. Neural Inf. Process. – Lett. Rev. 12, 53–62 (2008)
4.
Bačić, B.: Connectionist methods for data analysis and modelling of human motion in sporting activities. Ph.D. thesis, School of Computer and Mathematical Sciences, AUT University, New Zealand, Auckland (2013)
5.
Bačić, B.: Prototyping and user interface design for augmented coaching systems with MATLAB and Delphi: implementation of personal tennis coaching system. In: MATLAB Conference 2015, Auckland (2015)
6.
Knudson, D.V.: Qualitative Diagnosis of Human Movement: Improving Performance in Sport and Exercise. Human Kinetics, Champain (2013)
7.
Maass, W.: Networks of spiking neurons: the third generation of neural network models. Neural Netw. 10, 1659–1671 (1997)CrossRef
8.
Jaeger, H., Lukoševičius, M., Popovici, D., Siewert, U.: Optimization and applications of echo state networks with leaky-integrator neurons. Neural Netw. 20, 335–352 (2007)CrossRefMATH
9.
Paugam-Moisy, H.: Spiking neuron networks a survey. In: IDIAP Research Institute (2006)
10.
Bacic, B.: Echo state network for 3D motion pattern indexing: a case study on tennis forehands. In: Bräunl, T., et al. (eds.) PSIVT 2015. LNCS, vol. 9431, pp. 295–306. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-29451-3_​24 CrossRef
11.
Bacic, B.: Extracting player’s stance information from 3D motion data: a case study in tennis groundstrokes. In: Mori, S., et al. (eds.) PSIVT 2015 Workshops. LNCS, vol. 9555, pp. 307–318. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-30285-0_​25 CrossRef
12.
Gangstead, S.K., Beveridge, S.K.: The implementation and evaluation of a methodical approach to qualitative sports skill analysis instruction. J. Teach. Phys. Educ. 3, 60–70 (1984)CrossRef
Metadata
Title
Echo State Network Ensemble for Human Motion Data Temporal Phasing: A Case Study on Tennis Forehands
Author
Boris Bačić
Copyright Year
2016
Book
Neural Information Processing

Print ISBN: 978-3-319-46680-4

Electronic ISBN: 978-3-319-46681-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46681-1_2

Premium Partner

    Image Credits