A SVM bases AI design for interactive gaming

Yang Jiang, Jianmin Jiang, Ian Palmer

Research output: Contribution to conferencePaperpeer-review

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Interactive gaming requires automatic processing on large volume of random data produced by players on spot, such as shooting, football kicking, boxing etc. In this paper, we describe an artificial intelligence approach in processing such random data for interactive gaming by using a one-class support vector machine (OC-SVM). In comparison with existing techniques, our OC-SVM based interactive gaming design has the features of: (i): high speed processing, providing instant response to the players: (i) winner selection and control by one parameter, which can be pre-designed and adjusted according to the game design needs, i.e. level of difficulties: Experiments on numerical simulation support that the proposed design is robust to random noise, accurate in picking up winning data, and convenient for all interactive gaming design.
Original languageEnglish
Publication statusPublished - 2008
EventInternational Conference on Computer Gaming and Relevant Technologies - Singapore
Duration: 1 Jan 2008 → …


ConferenceInternational Conference on Computer Gaming and Relevant Technologies
Period1/01/08 → …


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