| dc.contributor.author | Ryan, Daniel James | |
| dc.date.accessioned | 2012-09-27T08:35:54Z | |
| dc.date.available | 2012-09-27T08:35:54Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://hdl.handle.net/11250/181783 | |
| dc.description | Master's thesis in Computer science | no_NO |
| dc.description.abstract | The Kinect is a cheap and wildly spread sensor array with some interesting features, such as a depth sensor and full body skeleton tracking.
The Kinect SDK does not support finger tracking; We have therefore created algorithms to find finger positions from depth sensor data. With the detected finger position we use dynamic time warping to record and recognize finger gestures.
We have created an API that can record and recognize finger gestures. The API was created with focus on ease of use and the possibility to customize and change core algorithms. Even the Kinect can be changed for other similar devices. This opens up a new field of applications utilizing the Kinect and finger gestures. | no_NO |
| dc.language.iso | eng | no_NO |
| dc.publisher | University of Stavanger, Norway | no_NO |
| dc.relation.ispartofseries | Masteroppgave/UIS-TN-IDE/2012; | |
| dc.subject | informasjonsteknologi | no_NO |
| dc.subject | datateknikk | no_NO |
| dc.subject | Kinect | no_NO |
| dc.subject | gesture recognition | no_NO |
| dc.subject | dynamic time warping | no_NO |
| dc.subject | contour tracing | no_NO |
| dc.subject | finger recognition | no_NO |
| dc.subject | virtual reality | no_NO |
| dc.title | Finger and gesture recognition with Microsoft Kinect | no_NO |
| dc.type | Master thesis | no_NO |
| dc.subject.nsi | VDP::Technology: 500::Information and communication technology: 550 | no_NO |
