公开(公告)号：US20090141007A1

公开(公告)日：2009-06-04

申请号：US11947325

申请日：2007-11-29

申请人： Santosh Mathan ,  Patricia M. Ververs ,  Michael Pavel

发明人： Santosh Mathan ,  Patricia M. Ververs ,  Michael Pavel

IPC分类号： G06F3/041

CPC分类号： G06F17/30247

摘要： A system and method of dynamically calibrating an image triage system. An image that may include one or more target entities is into a plurality of individual non-calibration image chips. Each non-calibration image chip is successively displayed to a user for a presentation time period. A calibration image chip that includes a synthetic target entity is selectively displayed, for the presentation time period, between the successive display of two non-calibration image chips. Calibration data are collected from the user at least while each calibration image chip is being displayed, and the image triage system is dynamically calibrated using the calibration data.

摘要翻译： 一种动态校准图像分类系统的系统和方法。 可以包括一个或多个目标实体的图像是多个单独的非校准图像芯片。 每个非校准图像芯片被连续地显示给用户呈现时间段。 包括合成目标实体的校准图像芯片在显示时间周期中被选择性地显示在两个非校准图像芯片的连续显示之间。 至少在显示每个校准图像芯片时，从用户收集校准数据，并使用校准数据动态校准图像分类系统。

公开(公告)号：US20100280403A1

公开(公告)日：2010-11-04

申请号：US12812401

申请日：2009-01-12

申请人： Deniz Erdogmus ,  Brian Roark ,  Melanie Fried-Oken ,  Jan Van Santen ,  Michael Pavel

发明人： Deniz Erdogmus ,  Brian Roark ,  Melanie Fried-Oken ,  Jan Van Santen ,  Michael Pavel

IPC分类号： A61B5/0482

CPC分类号： A61B5/0484 ,  A61B5/04001 ,  A61B5/726 ,  A61B5/7267 ,  G06F3/015 ,  G06K9/6232 ,  G06K9/6297 ,  G16H50/20

摘要： Embodiments of the disclosed technology provide reliable and fast communication of a human through a direct brain interface which detects the intent of the user. An embodiment of the disclosed technology comprises a system and method in which least one sequence of a plurality of stimuli is presented to an individual (using appropriate sensory modalities), and the time course of at least one measurable response to the sequence(s) is used to select at least one stimulus from the sequence(s). In an embodiment, the sequence(s) may be dynamically altered based on previously selected stimuli and/or on estimated probability distributions over the stimuli. In an embodiment, such dynamic alteration may be based on predictive models of appropriate sequence generation mechanisms, such as an adaptive or static sequence model.

摘要翻译： 所公开的技术的实施例通过检测用户的意图的直接脑界面提供人的可靠和快速的通信。 所公开技术的一个实施例包括一种系统和方法，其中将多个刺激的至少一个序列呈现给个体（使用适当的感官模态），并且至少一个可测量的序列响应的时间过程是 用于从序列中选择至少一个刺激物。 在一个实施例中，可以基于先前选择的刺激和/或在刺激上的估计概率分布来动态地改变序列。 在一个实施例中，这种动态改变可以基于适当序列生成机制的预测模型，诸如自适应或静态序列模型。