支持移动和普适应用的上下文感知框架

蕴涵着高度动态变化特性的移动和普适计算环境给分布式系统的设计提出了新的挑战,上下文感知框架汇聚了感知和处理各种易变因素的基础设施.依托框架开发移动和普适应用,能加快开发速度,提高应用程序的健壮性.本文分析了各种上下文信息及其作用,给出了上下文感知框架XAF的设计,探讨了框架中的关键技术,包括上下文转换和服务自适应选择.

概念设计中基于笔式手势的交互计算研究

基于笔式手势的自然交互是支持概念设计创新的有效方式.提出了一种笔式手势的层次概念模型,结合基于约束的自由勾画和上下文感知技术描述了手势设计方式,进一步讨论了手势内部的约束建立和求解算法;基于手势应用的范式,给出了概念设计中特征手势建模的应用实例,通过与传统建模和交互方式的对比,验证了特征手势建模的方便性.给出一个自然、高效的方法,以基于手势的方式来完成概念设计构思过程,采用笔式交互快速自然地记录下设计思路,所实现的系统方便了用户的创新设计,改善了人机交互模式.

Visual-Context Boosting for Eye Detection

Eye detection plays an important role in many practical applications. This paper presents a novel two-step scheme for eye detection. The first step models an eye by a newly defined visual-context pattern (VCP), and the second step applies semisupervised boosting for precise detection. VCP describes both the space and appearance relations between an eye region (region of eye) and a reference region (region of reference). The context feature of a VCP is extracted by using the integral image. Aiming to reduce the human labeling efforts, we apply semisupervised boosting, which integrates the context feature and the Haar-like features for precise eye detection. Experimental results on several standard face data sets demonstrate that the proposed approach is effective, robust, and efficient. We finally show that this approach is ready for practical applications.