Happy Running?

Autor: van der Bie, Joey, Kröse, Ben, De Ruyter, Boris, Kameas, Achilles, Chatzimisios, Periklis, Mavrommati, Irene
Přispěvatelé: Amsterdam Machine Learning lab (IVI, FNWI), Lectoraat Digital Life
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Ambient Intelligence: 12th European Conference, AmI 2015, Athens, Greece, November 11-13, 2015 : proceedings, 357-360
STARTPAGE=357;ENDPAGE=360;TITLE=Ambient Intelligence
Ambient Intelligence: 12th European Conference, AmI 2015 Athens, Greece, November 11–13, 2015 Proceedings, 357-360
Lecture Notes in Computer Science ISBN: 9783319260044
AmI
ISSN: 0302-9743
Popis: 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.
Databáze: OpenAIRE