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

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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 languageEnglish
Title of host publicationAmbient Intelligence
Subtitle of host publication12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings
EditorsBoris De Ruyter, Achilles Kameas, Periklis Chatzimisios, Irene Mavrommati
Place of PublicationCham
PublisherSpringer
Pages357-360
Number of pages4
ISBN (Electronic)9783319260051
ISBN (Print)9783319260044
DOIs
Publication statusPublished - 2015
EventAmbient Intelligence: 12th European Conference - Athens, Greece
Duration: 11 Nov 201513 Nov 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9425

Conference

ConferenceAmbient Intelligence
Abbreviated titleAML 2015
CountryGreece
CityAthens
Period11/11/1513/11/15

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