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    • 5. 发明申请
    • Architecture For Controlling A Computer Using Hand Gestures
    • 使用手势控制计算机的架构
    • US20100146464A1
    • 2010-06-10
    • US12705014
    • 2010-02-12
    • Andrew D. WilsonNuria M. Oliver
    • Andrew D. WilsonNuria M. Oliver
    • G06F3/01
    • G06F3/017G06K9/00355
    • Architecture for implementing a perceptual user interface. The architecture comprises alternative modalities for controlling computer application programs and manipulating on-screen objects through hand gestures or a combination of hand gestures and verbal commands. The perceptual user interface system includes a tracking component that detects object characteristics of at least one of a plurality of objects within a scene, and tracks the respective object. Detection of object characteristics is based at least in part upon image comparison of a plurality of images relative to a course mapping of the images. A seeding component iteratively seeds the tracking component with object hypotheses based upon the presence of the object characteristics and the image comparison. A filtering component selectively removes the tracked object from the object hypotheses and/or at least one object hypothesis from the set of object hypotheses based upon predetermined removal criteria.
    • 用于实现感性用户界面的体系结构。 该架构包括用于控制计算机应用程序和通过手势操纵屏幕对象或手势和语言命令的组合的替代模式。 感知用户界面系统包括跟踪部件,其检测场景内的多个对象中的至少一个的对象特征,并跟踪相应的对象。 对象特征的检测至少部分地基于多个图像相对于图像的路线映射的图像比较。 基于对象特征和图像比较的存在,种子组件将跟踪组件迭代地种子化对象假设。 过滤组件基于预定的去除标准,从目标假设集合中选择性地从对象假设和/或至少一个对象假设中移除跟踪对象。
    • 9. 发明授权
    • Systems and methods for guiding allocation of computational resources in automated perceptual systems
    • 在自动感知系统中指导计算资源分配的系统和方法
    • US07873724B2
    • 2011-01-18
    • US10729464
    • 2003-12-05
    • Eric J. HorvitzNuria M. Oliver
    • Eric J. HorvitzNuria M. Oliver
    • G06F15/18
    • G06N7/005
    • The present invention leverages analysis methods, such as expected value of information techniques, rate-based techniques, and random selection technique, to provide a fusion of low-level streams of input data (e.g., raw data) from multiple sources to facilitate in inferring human-centric notions of context while reducing computational resource burdens. In one instance of the present invention, the method utilizes real-time computations of expected value of information in a greedy, one-step look ahead approach to compute a next best set of observations to make at each step, producing “EVI based-perception.” By utilizing dynamically determined input data, the present invention provides utility-directed information gathering to enable a significant reduction in system resources. Thus, of the possible input combinations, the EVI-based system can automatically determine which sources are required for real-time computation relating to a particular context.
    • 本发明利用诸如信息技术的期望值,基于速率的技术和随机选择技术之类的分析方法来提供来自多个源的低级输入数据流(例如,原始数据)的融合,以促进推断 以人为本的上下文概念,同时减少计算资源负担。 在本发明的一个实例中,该方法利用贪心的一步前瞻方法实时计算信息的期望值,以计算出在每个步骤中产生的下一最佳观察组,产生“基于EVI的感知 “通过利用动态确定的输入数据,本发明提供了实用的信息收集,以便显着地减少系统资源。 因此,在可能的输入组合中,基于EVI的系统可以自动确定与特定上下文相关的实时计算所需的源。