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Happy Running?

Using an Accelerometer to Predict the Affective State of a Runner

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Ambient Intelligence (AmI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9425))

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Abstract

This paper explores a method for deducing the affective state of runners using his/her movements. The movements are measured on the arm using a smartphone’s built-in accelerometer. Multiple features are derived from the measured data. We studied which features are most predictive for the affective state by looking at the correlations between the features and the reported affect. We found that changes in runners’ movement can be used to predict change in affective state.

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References

  1. Kleinsmith, A., Bianchi-Berthouze, N.: Affective body expression perception and recognition: a survey. IEEE Trans. Affect. Comput. 4(1), 15–33 (2013)

    Article  Google Scholar 

  2. Ekkekakis, P., Parfitt, G., Petruzzello, S.J.: The pleasure and displeasure people feel when they exercise at different intensities. Sports Med. 41(8), 641–671 (2011)

    Article  Google Scholar 

  3. Bicocchi, N., Mamei, M., Zambonelli, F.: Detecting activities from body-worn accelerometers via instance-based algorithms. Pervasive Mob. Comput. 6(4), 482–495 (2010)

    Article  Google Scholar 

  4. Bood, R.J., Nijssen, M., van der Kamp, J., Roerdink, M.: The power of auditory-motor synchronization in sports: enhancing running performance by coupling cadence with the right beats. PLoS ONE 8(8), e70758 (2013)

    Article  Google Scholar 

  5. Hardy, C.J., Rejeski, W.J.: Not what, but how one feels: the measurement of affect during exercise. J. Sport Exerc. Psychol. 11(3), 304–317 (1989)

    Google Scholar 

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Acknowledgments

We thank the participants, the Radboud University, the University of Twente and the VU University of Amsterdam for making the creation of the dataset possible.

This publication was supported by the Dutch national program COMMIT and the Amsterdam Creative Industries Network.

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Authors and Affiliations

  1. Amsterdam University of Applied Sciences, Wibautstraat 2-4, 1091 GM, Amsterdam, The Netherlands

    Joey van der Bie & Ben Kröse

Authors
  1. Joey van der Bie
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  2. Ben Kröse
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Corresponding author

Correspondence to Joey van der Bie .

Editor information

Editors and Affiliations

  1. Philips Research, Eindhoven, The Netherlands

    Boris De Ruyter

  2. Hellenic Open University, Patras, Greece

    Achilles Kameas

  3. Institute of Thessaloniki, Alexander Technological Educational, Sindos, Greece

    Periklis Chatzimisios

  4. Hellenic Open University, Patras, Greece

    Irene Mavrommati

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© 2015 Springer International Publishing Switzerland

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van der Bie, J., Kröse, B. (2015). Happy Running?. In: De Ruyter, B., Kameas, A., Chatzimisios, P., Mavrommati, I. (eds) Ambient Intelligence. AmI 2015. Lecture Notes in Computer Science(), vol 9425. Springer, Cham. https://doi.org/10.1007/978-3-319-26005-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-26005-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26004-4

  • Online ISBN: 978-3-319-26005-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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