In the past 20 years humans have mostly used a mouse to interact with computers. However, with the rapidly growing use of computers, a need for alternative means of interaction has emerged. With the advent of Kinect, a brand-new way of human- computer interaction has been introduced. It allows the use of gestures - the most natural body-language - to communicate with computers, helping us get rid of traditional constraints and providing an intuitive method for executing operations. This thesis presents how to design and implement a program to help people interact with computers, without the traditional mouse, and with the support and help of a Kinect device (an XNA Game framework with Microsoft Kinect SDK v1.7). For dynamic gesture recognition, the Hidden Markov Model (HMM) and Dynamic Time Warping (DTW), are suggested. The use of DTW is being motivated by experimental analysis. A dynamic-gesture-recognition program is developed, based on DTW, to help computers recognize customized gestures by users. The experiment also shows that DTW can have rather good performance. As for further development, the use of the XNA Game 4.0 framework, which integrates the Kinect body tracking into DTW gesture recognition technologies, is introduced. Finally, a functional test is conducted on the interaction system. In addition to summarizing the results, the thesis also discusses what can be improved in the future.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-235545 |
| Date | January 2014 |
| Creators | Xu, Jie |
| Publisher | Uppsala universitet, Institutionen för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | IT ; 14 053 |
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