{"title":"模拟节奏游戏中的玩家表现","authors":"Lingfeng Yang","doi":"10.1145/1899950.1899951","DOIUrl":null,"url":null,"abstract":"We present a method for modeling skill level in a rhythm game by building probabilistic models of how well the player is able to match a technically perfect execution. This enables applications for facilitating skill improvement in rhythm games.","PeriodicalId":354911,"journal":{"name":"ACM SIGGRAPH ASIA 2010 Sketches","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Modeling player performance in rhythm games\",\"authors\":\"Lingfeng Yang\",\"doi\":\"10.1145/1899950.1899951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method for modeling skill level in a rhythm game by building probabilistic models of how well the player is able to match a technically perfect execution. This enables applications for facilitating skill improvement in rhythm games.\",\"PeriodicalId\":354911,\"journal\":{\"name\":\"ACM SIGGRAPH ASIA 2010 Sketches\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH ASIA 2010 Sketches\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1899950.1899951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH ASIA 2010 Sketches","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1899950.1899951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a method for modeling skill level in a rhythm game by building probabilistic models of how well the player is able to match a technically perfect execution. This enables applications for facilitating skill improvement in rhythm games.
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