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    • 4. 发明授权
    • Supporting user multi-tasking with clipping lists
    • 支持用户多任务剪裁列表
    • US08108785B2
    • 2012-01-31
    • US11328005
    • 2006-01-09
    • Tara L MatthewsGeorge G RobertsonMary P CzerwinskiDesney S Tan
    • Tara L MatthewsGeorge G RobertsonMary P CzerwinskiDesney S Tan
    • G06F3/048
    • G06F3/0481
    • A method for managing windows in a display is disclosed. The method comprises forming clippings for windows located in a focal region of a display; displaying the clippings in a peripheral region of the display; hiding the windows in the focal region of the display; indicating the states of the clippings; and in response to a user action, displaying the windows and hiding the clippings. A clipping comprises an image of a region of a window and an icon. A clipping is formed when a window is dragged from the focal region into the peripheral region or when the minimize button of a window is clicked. A clipping list is formed when a clipping is moved near another clipping. A clipping moved near a clipping list is inserted into the clipping list. Indicating the change state of a clipping comprises detecting that the contents of the clipping are changing; providing a visual cue for the clipping; changing the appearance of the visual cue in response to detecting that the contents of the clipping are no longer changing; and removing the visual cue in response to a user action. The change state of a clipping in a clipping list is propagated to the clipping list.
    • 公开了一种用于管理显示器中的窗口的方法。 该方法包括形成位于显示器的焦点​​区域中的窗口的剪切; 在显示器的外围区域中显示剪辑; 将窗户隐藏在显示屏的焦点区域; 指示剪报的状态; 并响应于用户动作,显示窗口并隐藏剪辑。 剪辑包括窗口区域和图标的图像。 当窗口从焦点区域拖动到外围区域时或当窗口的最小化按钮被点击时,形成剪辑。 当剪辑移动到另一个剪辑附近时,形成剪辑列表。 在剪辑列表附近移动的剪辑被插入到剪辑列表中。 指示剪辑的改变状态包括检测剪辑的内容正在改变; 提供剪辑的视觉提示; 响应于检测到剪辑的内容不再改变而改变视觉提示的外观; 以及响应于用户动作去除视觉提示。 剪辑列表中剪辑的改变状态被传播到剪辑列表。
    • 5. 发明授权
    • Spy-resistant keyboard
    • 间谍键盘
    • US07395506B2
    • 2008-07-01
    • US10870510
    • 2004-06-17
    • Desney S TanPedram KeyaniMary P Czerwinski
    • Desney S TanPedram KeyaniMary P Czerwinski
    • G06F3/00
    • G06F21/31G06F3/04886G06F21/83G06Q20/206G07F7/10G07F7/1041
    • A method, system and article of manufacture for providing a spy-resistant keyboard. The spy-resistant keyboard provides a user with additional protection against unauthorized observers while the user is interfacing with a system implementing the spy-resistant keyboard. The keyboard may include a number of tiles with a number of user-selectable characters randomly associated with each tile. A spy-resistant keyboard may also include a number of movable tiles with user-selectable characters. Before a user selects a user-selectable associated with one of the tiles, all the user-selectable characters in the tiles are at least blanked to avoid unauthorized viewing of a chosen tile.
    • 一种用于提供间谍键盘的方法,系统和制品。 防间谍键盘为用户提供额外的保护,防止未经授权的观察者,同时用户与实施间谍电话键盘的系统进行接口。 键盘可以包括具有与每个瓦片随机关联的多个用户可选择字符的多个瓦片。 间谍键盘还可以包括许多具有用户可选字符的可移动瓦片。 在用户选择与一个瓦片相关联的用户可选择的位置之前,瓦片中的所有用户可选择的字符至少被空白以避免未经授权地查看所选择的瓦片。
    • 6. 发明授权
    • Spy-resistant keyboard
    • 间谍键盘
    • US07296233B2
    • 2007-11-13
    • US10843268
    • 2004-05-10
    • Desney S TanPedram KeyaniMary P Czerwinski
    • Desney S TanPedram KeyaniMary P Czerwinski
    • G06F3/00
    • G06F21/31G06F3/04886G06F21/83G06Q20/206G07F7/10G07F7/1041
    • A method, system and article of manufacture for providing a spy-resistant keyboard. The spy-resistant keyboard provides a user with additional protection against unauthorized observers while the user is interfacing with a system implementing the spy-resistant keyboard. The keyboard may include a number of tiles with a number of user-selectable characters randomly associated with each tile. A spy-resistant keyboard may also include a number of movable tiles with user-selectable characters. Before a user selects a user-selectable associated with one of the tiles, all the user-selectable characters in the tiles are at least blanked to avoid unauthorized viewing of a chosen tile.
    • 一种用于提供间谍键盘的方法,系统和制品。 防间谍键盘为用户提供额外的保护,防止未经授权的观察者,同时用户与实施间谍电话键盘的系统进行接口。 键盘可以包括具有与每个瓦片随机关联的多个用户可选择字符的多个瓦片。 间谍键盘还可以包括许多具有用户可选字符的可移动瓦片。 在用户选择与一个瓦片相关联的用户可选择的位置之前,瓦片中的所有用户可选择的字符至少被空白以避免未经授权地查看所选择的瓦片。
    • 7. 发明授权
    • Omni-spatial gesture input
    • 全方位手势输入
    • US09423876B2
    • 2016-08-23
    • US13250532
    • 2011-09-30
    • Eric HorvitzKenneth P HinckleyHrvoje BenkoDesney S Tan
    • Eric HorvitzKenneth P HinckleyHrvoje BenkoDesney S Tan
    • G06F3/01G06F3/0346
    • G06F3/017G06F3/0346G06F2203/0381
    • Embodiments of the present invention relate to systems, methods and computer storage media for detecting user input in an extended interaction space of a device, such as a handheld device. The method and system allow for utilizing a first sensor of the device sensing in a positive z-axis space of the device to detect a first input, such as a user's non-device-contacting gesture. The method and system also contemplate utilizing a second sensor of the device sensing in a negative z-axis space of the device to detect a second input. Additionally, the method and system contemplate updating a user interface presented on a display in response to detecting the first input by the first sensor in the positive z-axis space and detecting the second input by the second sensor in the negative z-axis space.
    • 本发明的实施例涉及用于检测诸如手持设备的设备的扩展交互空间中的用户输入的系统,方法和计算机存储介质。 所述方法和系统允许利用设备的正z轴空间中感测的设备的第一传感器来检测诸如用户的非设备接触姿态的第一输入。 该方法和系统还考虑利用设备的负Z轴空间中感测的设备的第二传感器来检测第二输入。 此外,该方法和系统考虑响应于在正z轴空间中检测到第一传感器的第一输入并且在负z轴空间中检测第二传感器的第二输入,来更新呈现在显示器上的用户界面。
    • 8. 发明授权
    • Using electroencephalograph signals for task classification and activity recognition
    • 使用脑电图信号进行任务分类和活动识别
    • US07580742B2
    • 2009-08-25
    • US11349859
    • 2006-02-07
    • Desney S TanJohnny C Lee
    • Desney S TanJohnny C Lee
    • A61B5/04
    • G06F3/015A61B5/0476A61B5/16A61B5/7207A61B5/7267G06K9/00496
    • A method for classifying brain states in electroencephalograph (EEG) signals comprising building a classifier model and classifying brain states using the classifier model is described. Brain states are determined. Labeled EEG data is collected and divided into overlapping time windows. The time dimension is removed from each time window. Features are generated by computing the base features; combining the base features to form a larger feature set; pruning the large feature set; and further pruning the feature set for a particular machine learning technique. Brain states in unlabeled EEG data are classified using the classifier model by dividing the unlabeled EEG data into overlapping time windows and removing the time dimension from each time window. Features required by the classifier model are generated. Artifacts in the labeled and unlabeled EEG data comprise cognitive artifacts and non-cognitive artifacts.
    • 描述了一种在脑电图(EEG)信号中分类脑状态的方法,包括建立分类器模型并使用分类器模型对脑状态进行分类。 大脑状态是确定的。 标记的EEG数据被收集并分为重叠的时间窗口。 时间维度从每个时间窗口被删除。 通过计算基本特征生成特征; 组合基本特征以形成较大的特征集; 修剪大功能集; 并进一步修剪特定机器学习技术的特征集。 未标记的EEG数据中的脑状态通过将未标记的EEG数据划分为重叠时间窗口并从每个时间窗口去除时间维度,使用分类器模型进行分类。 生成分类器模型所需的特征。 标记和未标记的脑电图数据中的伪像包括认知伪像和非认知伪像。