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机构地区:[1]浙江大学CAD8&CG国家重点实验室,杭州310058 [2]浙江警察学院治安系,杭州310053
出 处:《计算机辅助设计与图形学学报》2011年第7期1159-1165,共7页Journal of Computer-Aided Design & Computer Graphics
基 金:国家自然科学基金(60970078);国家“八六三”高技术研究发展计划(2009AA012107);国家“九七三”重点基础研究发展计划项目(2009CB320804)
摘 要:随着虚拟现实、人机交互等技术的快速发展,面向家庭、办公室等的新一代大众游戏已引起人们的广泛关注.针对大众游戏亟需的自然交互,从硬件、软件两方面研究手势交互技术.通过选择适合于手势交互游戏的手持装置并对其进行简单再造,以降低游戏的硬件成本;提出综合亮度、颜色、形状特征的目标检测两步法,以提高手持运动目标检测的鲁棒性,并提出手势交互的人手运动有限状态机模型;采用基于规则的方法分割手部运动轨迹,提出手势的参数化描述方法及相应的识别准则.针对经典游戏俄罗斯方块的相关实验表明,采用手势交互取代传统的按键操作,交互更为自然有效,且能增强用户的游戏体验.With rapid developments of virtual reality and human computer interaction,next-generation public games for home and office wide have drawn wide attentions.In this paper,a natural interaction technique for public games,i.e.hand gesture interaction technique,is well studied from the aspects both hardware and software.A low-cost hand-held interactive device is chosen and re-engineered for gesture interaction games.A two-pass method for moving target detection is proposed to improve the robustness of hand-held target detection,which takes into account the image luminance,color and shape features.A deterministic finite state automaton is developed for hand gesture interaction.Hand gestures are parameterized and a rule-based approach is proposed to classify them.As an experimental example,a hand-held LED light pen is adopted to drive the popular PC game Tetris,which replaces the traditional key controls.Experimental results show that the proposed hand gesture interactions are natural and effectively enhances user's experiences on the game.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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