| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | van der Stappen, A. F. | |
| dc.contributor.advisor | Yumak, Z. | |
| dc.contributor.author | Freda, C. | |
| dc.date.accessioned | 2018-09-24T17:01:03Z | |
| dc.date.available | 2018-09-24T17:01:03Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/31420 | |
| dc.description.abstract | In this thesis we present a comparison of different neural network based motion synthesis techniques applied to the animation of a sword-fighting character. We record a set of motions in our motion capture lab, documenting the gathering and processing of data. We compare two data-driven models, Encoder-Recurrent-Decoder and Phase-Functioned Neural Networks, by training them to our data set. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 2047400 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.title | Neural Network Based Motion Synthesis for Close Combat in Games | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Game and Media Technology | |
