| Authors |
|
| Publication date |
2015
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| Host editors |
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B. De Ruyter
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A. Kameas
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P. Chatzimisios
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I. Mavrommati
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| Book title |
Ambient Intelligence
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| Book subtitle |
12th European Conference, AmI 2015, Athens, Greece, November 11-13, 2015 : proceedings
|
| ISBN |
|
| ISBN (electronic) |
|
| Series |
Lecture Notes in Computer Science
|
| Event |
Ambient Intelligence : 12th European Conference
|
| Pages (from-to) |
357-360
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| Publisher |
Cham: Springer
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| Organisations |
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Faculty of Science (FNWI) - Informatics Institute (IVI)
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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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| Document type |
Conference contribution
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| Language |
English
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| Published at |
https://doi.org/10.1007/978-3-319-26005-1_26
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