dc.contributor |
Aalto-yliopisto |
fi |
dc.contributor |
Aalto University |
en |
dc.contributor.advisor |
Kujala, Sari |
|
dc.contributor.author |
Hälinen, Lauri |
|
dc.date.accessioned |
2017-09-04T12:56:52Z |
|
dc.date.available |
2017-09-04T12:56:52Z |
|
dc.date.issued |
2017-08-28 |
|
dc.identifier.uri |
https://aaltodoc.aalto.fi/handle/123456789/27959 |
|
dc.format.extent |
61 + 9 |
|
dc.language.iso |
en |
en |
dc.title |
The feasibility of using input device tracking to recognize emotions on a news site |
en |
dc.title |
Syötelaitteiden seurannan soveltuvuus tunteiden tunnistamiseen uutissivustolla |
fi |
dc.type |
G2 Pro gradu, diplomityö |
fi |
dc.contributor.school |
Perustieteiden korkeakoulu |
fi |
dc.subject.keyword |
emotional reactions |
en |
dc.subject.keyword |
emotion recognition |
en |
dc.subject.keyword |
input devices |
en |
dc.subject.keyword |
touch screens |
en |
dc.identifier.urn |
URN:NBN:fi:aalto-201709046858 |
|
dc.programme.major |
Software and Service Engineering |
fi |
dc.programme.mcode |
SCI3043 |
fi |
dc.type.ontasot |
Master's thesis |
en |
dc.type.ontasot |
Diplomityö |
fi |
dc.contributor.supervisor |
Kauppinen, Marjo |
|
dc.programme |
Master’s Programme in Computer, Communication and Information Sciences |
fi |
local.aalto.electroniconly |
yes |
|
local.aalto.openaccess |
no |
|