An Unsupervised Learning Exploration of Parent-Child Interaction Styles and Patterns From Videos
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Poppe, Ronald | |
| dc.contributor.author | Eylon, Guy | |
| dc.date.accessioned | 2023-09-06T10:07:51Z | |
| dc.date.available | 2023-09-06T10:07:51Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45032 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | The thesis concerns analysis of videos of parents and infants interacting and playing. Body pose data was estimated from the video frames and analyzed with an unsupervised clustering approach. Different pose feature representations were evaluated, and possible correlations between patterns in the processed data and ratings for parenting behaviors (obtained from developmental psychologists) were explored. | |
| dc.title | An Unsupervised Learning Exploration of Parent-Child Interaction Styles and Patterns From Videos | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Artificial Intelligence | |
| dc.thesis.id | 23553 |
