| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Salah, Albert | |
| dc.contributor.author | Schoorl, Kayleigh | |
| dc.date.accessioned | 2022-09-09T01:02:32Z | |
| dc.date.available | 2022-09-09T01:02:32Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/42447 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | In this thesis, we developed a movement recognition system to accurately recognize specific movements via a mobile phone application targeted at children with motor skill impairments. Moreover, an adaptive difficulty system to make the application adapt to the user was added. | |
| dc.title | An interactive mobile phone application for rehabilitation of children with motor skill impairments | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | activity recognition; applied games; cerebral palsy; hand therapy; machine learning; adaptive difficulty | |
| dc.subject.courseuu | Game and Media Technology | |
| dc.thesis.id | 8802 | |
