Willem-Jan Spoel
Department of Information and Computing Sciences, Utrecht University
This page is about an ongoing master-thesis project performed by Willem-Jan Spoel under supervision of dr Wolfgang Huerst and dr. Robby T. Tan. The motivation of the project is that nowadays mobile devices allow more and more functionalities because of better hardware and software. However, these functionalities cause the user interface to be more complex. To resolve the problem, multiple interfaces are often used to interact with a mobile device (haptics, voice commands, etc). A problem that haptic-based approaches have in common is that the sensitive region is very small and is limited to at least the size of the phone. Also, when using the touch screen, it limits the most important function of it: visibility. A different method of interacting with a mobile device which does not block the visibility and is not limited by the size of the screen, is using the camera attached to the device. Using the device's camera, hand gesture information can be captured and used for more natural interactions. The main purpose in the project is to track a hand using the camera of a mobile device and to extract poses and gestures information. Since the focus is on mobile devices, an efficient and robust tracking and pose recognition of the hand is important.
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