Happy Running?: Using an Accelerometer to Predict the Affective State of a Runner

Joey van der Bie; Ben Kröse

doi:10.1007/978-3-319-26005-1_26

Happy Running? Using an Accelerometer to Predict the Affective State of a Runner

Joey van der Bie, Ben Kröse

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Ambient Intelligence
Subtitle of host publication	12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings
Editors	Boris De Ruyter, Achilles Kameas, Periklis Chatzimisios, Irene Mavrommati
Place of Publication	Cham
Publisher	Springer
Pages	357-360
Number of pages	4
ISBN (Electronic)	9783319260051
ISBN (Print)	9783319260044
DOIs	https://doi.org/10.1007/978-3-319-26005-1_26
Publication status	Published - 2015
Event	Ambient Intelligence: 12th European Conference - Athens, Greece Duration: 11 Nov 2015 → 13 Nov 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9425

Conference

Conference	Ambient Intelligence
Abbreviated title	AML 2015
Country/Territory	Greece
City	Athens
Period	11/11/15 → 13/11/15

Access to Document

10.1007/978-3-319-26005-1_26

happyrunningjvdbiebkroserevisedfinalAuthor accepted manuscript (AAM), 185 KB

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van der Bie, J., & Kröse, B. (2015). Happy Running? Using an Accelerometer to Predict the Affective State of a Runner. In B. De Ruyter, A. Kameas, P. Chatzimisios, & I. Mavrommati (Eds.), Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings (pp. 357-360). (Lecture Notes in Computer Science; Vol. 9425). Springer. https://doi.org/10.1007/978-3-319-26005-1_26

van der Bie, Joey ; Kröse, Ben. / Happy Running? Using an Accelerometer to Predict the Affective State of a Runner. Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings. editor / Boris De Ruyter ; Achilles Kameas ; Periklis Chatzimisios ; Irene Mavrommati. Cham : Springer, 2015. pp. 357-360 (Lecture Notes in Computer Science).

@inproceedings{6270ee8a7372476a91146fc943f1a31e,

title = "Happy Running?: Using an Accelerometer to Predict the Affective State of a Runner",

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{\textquoteright}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{\textquoteright} movement can be used to predict change in affective state.",

author = "{van der Bie}, Joey and Ben Kr{\"o}se",

note = "Conference paper; Ambient Intelligence : 12th European Conference, AML 2015 ; Conference date: 11-11-2015 Through 13-11-2015",

year = "2015",

doi = "10.1007/978-3-319-26005-1_26",

language = "English",

isbn = "9783319260044",

series = "Lecture Notes in Computer Science",

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pages = "357--360",

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booktitle = "Ambient Intelligence",

}

van der Bie, J & Kröse, B 2015, Happy Running? Using an Accelerometer to Predict the Affective State of a Runner. in B De Ruyter, A Kameas, P Chatzimisios & I Mavrommati (eds), Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings. Lecture Notes in Computer Science, vol. 9425, Springer, Cham, pp. 357-360, Ambient Intelligence, Athens, Greece, 11/11/15. https://doi.org/10.1007/978-3-319-26005-1_26

Happy Running? Using an Accelerometer to Predict the Affective State of a Runner. / van der Bie, Joey; Kröse, Ben.
Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings. ed. / Boris De Ruyter; Achilles Kameas; Periklis Chatzimisios; Irene Mavrommati. Cham: Springer, 2015. p. 357-360 (Lecture Notes in Computer Science; Vol. 9425).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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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van der Bie J, Kröse B. Happy Running? Using an Accelerometer to Predict the Affective State of a Runner. In De Ruyter B, Kameas A, Chatzimisios P, Mavrommati I, editors, Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings. Cham: Springer. 2015. p. 357-360. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-26005-1_26