Year: 2015
Type: dissertation
Abstract: Hand gesture recognition is the task of having a machine recognize the hand gestures made by a human. In this thesis the main focus has been to research AI methods for gesture recognition. I investigate machine learning methods and image processing techniques to see if they are suited for hand gesture recognition with a color camera. I have used a PlayStation Eye camera, and written two different programs that use images captured by it to recognize and distinguish between 6 different static gestures. One of the programs uses only image processing techniques to recognize the gestures, while the other uses image processing to construct a feature vector, and then uses the KNN algorithm to predict the gesture in the image. The thesis is a proof of concept that will show the results of both programs and compare the two different approaches. I will also give a comparison between my approaches and what other researchers have done.
Source: BIBSYS Brage (BIBSYS (Norway))
Author: Henrik Hjorthen Støren
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2489178682