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    • 72. 发明申请
    • SENSING USER INPUT USING THE BODY AS AN ANTENNA
    • 感应用户输入使用身体作为天线
    • US20120162057A1
    • 2012-06-28
    • US12975373
    • 2010-12-22
    • Desney S. TanDaniel S. MorrisGabriel A. CohnShwetak N. Patel
    • Desney S. TanDaniel S. MorrisGabriel A. CohnShwetak N. Patel
    • G09G5/00
    • G06F3/0383G06F3/011G06F3/017G06F3/0346
    • A human input system is described herein that provides an interaction modality that utilizes the human body as an antenna to receive electromagnetic noise that exists in various environments. By observing the properties of the noise picked up by the body, the system can infer human input on and around existing surfaces and objects. Home power lines have been shown to be a relatively good transmitting antenna that creates a particularly noisy environment. The human input system leverages the body as a receiving antenna and electromagnetic noise modulation for gestural interaction. It is possible to robustly recognize touched locations on an uninstrumented home wall using no specialized sensors. The receiving device for which the human body is the antenna can be built into common, widely available electronics, such as mobile phones or other devices the user is likely to commonly carry.
    • 本文描述了一种人机输入系统,其提供利用人体作为天线来接收存在于各种环境中的电磁噪声的相互作用模态。 通过观察身体吸收的噪声的特性,系统可以推断现有表面和物体周围的人类输入。 家用电源线已被证明是相对较好的发射天线,产生特别嘈杂的环境。 人体输入系统利用身体作为接收天线和电磁噪声调制手势互动。 没有专门的传感器可以很好地识别未测量的家庭墙上的触摸位置。 人体是天线的接收装置可以内置在普通的广泛使用的电子设备中,例如用户可能通常携带的移动电话或其他设备。
    • 76. 发明授权
    • Constraint-based correction of handwriting recognition errors
    • 手写识别错误的基于约束的校正
    • US07720316B2
    • 2010-05-18
    • US11470076
    • 2006-09-05
    • Michael ShilmanDesney S. TanPatrice Y. Simard
    • Michael ShilmanDesney S. TanPatrice Y. Simard
    • G06K9/34G06K9/03G06K9/00
    • G06K9/00436G06K9/6255G06K9/626
    • A handwriting recognition system interprets handwritten text and produces a typed interpretation of that text. When the initial interpretation of the handwritten text is inaccurate, the handwriting recognition system alters the initial recognition by reinterpreting the handwritten text in view of a correction made by a user and constraints (e.g., derived by assumptions in user behavior). The handwriting recognition system intelligently reinterprets and renews its text recognition each time the user implements a correction. In effect, a single correction can trigger multiple adjustments to the text recognition. Therefore, with the use of a reinterpretation algorithm, the handwriting recognition system helps the user obtain the desired result in fewer correction steps.
    • 手写识别系统解释手写文本,并产生对该文本的类型解释。 当手写文本的初始解释不准确时,鉴于用户进行的修正和约束(例如,通过用户行为的假设导出),手写识别系统通过重新解读手写文本来改变初始识别。 手写识别系统在每次用户执行校正时智能地重新诠释和更新其文本识别。 实际上,单次校正可以触发文本识别的多个调整。 因此,通过使用重新解释算法,手写识别系统帮助用户在更少的校正步骤中获得期望的结果。
    • 77. 发明申请
    • INTERACTIVE SCENARIO EXPLORATION FOR TOURNAMENT-STYLE GAMING
    • 交互式场景探索游戏风格
    • US20090170584A1
    • 2009-07-02
    • US11965772
    • 2007-12-28
    • Desney S. TanGregory R. SmithYuval PeresJoseph Yossi AzarEyal Lubetzky
    • Desney S. TanGregory R. SmithYuval PeresJoseph Yossi AzarEyal Lubetzky
    • A63F9/24
    • G07F17/3276G07F17/32
    • A tournament-style gaming scenario exploration system and method for interactively exploring current and future scenarios of a tournament and associated pick'em pool. The system and method include a prediction module (including a game constraint sub-module), and a key event detection module. Embodiments of the prediction module include a binary integer that represents tournament outcomes. The prediction module generates predictions of tournament outcomes using an exhaustive or a sampling technique. The sampling technique includes random sampling, where the tournament bracket is randomly sampled, and a weighted sampling technique, which sample portions of the tournament bracket more densely than others areas. Embodiments of the game constraint sub-module allow real-world results constraints and user-supplied constraints to be imposed on the tournament outcomes. Embodiments of the key event detection module identify key games in the tournament that affect a user's placement in the pick'em pool, a competitor's placement in the tournament standings, or both.
    • 一种比赛风格的游戏场景探索系统和方法,用于交互式探索比赛和相关选择队列的当前和未来场景。 该系统和方法包括预测模块(包括游戏约束子模块)和键事件检测模块。 预测模块的实施例包括表示赛事结果的二进制整数。 预测模块使用穷举或抽样技术来产生比赛成果的预测。 采样技术包括随机采样,其中随机采样比赛支架,以及加权采样技术,其中比赛部分比其他地区更加密集。 游戏约束子模块的实施例允许实际结果约束和用户提供的约束被施加在比赛结果上。 关键事件检测模块的实施例识别比赛中的关键游戏,影响用户在选择池中的位置,竞争对手在比赛积分中的位置,或两者兼而有之。
    • 78. 发明申请
    • INTERACTIVE CONCEPT LEARNING IN IMAGE SEARCH
    • 图像搜索中的交互式概念学习
    • US20090154795A1
    • 2009-06-18
    • US11954246
    • 2007-12-12
    • Desney S. TanAshish KapoorSimon A. J. WinderJames A. Fogarty
    • Desney S. TanAshish KapoorSimon A. J. WinderJames A. Fogarty
    • G06K9/62
    • G06F17/30247G06K9/6215
    • An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.
    • 一种交互式概念学习图像搜索技术,允许最终用户基于图像的图像特征快速创建自己的重新排序图像的规则。 图像特征可以包括视觉特征以及语义特征或特征,或者可以包括两者的组合。 然后,最终用户可以根据其规则或规则对当前或将来的图像搜索结果进行排名或重新排序。 最终用户提供每个规则应该匹配的图像的示例以及规则应该拒绝的图像的示例。 该技术学习示例的常见图像特征,然后可以根据学习的规则对任何当前或将来的图像搜索结果进行排名或重新排序。