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1. 发明授权

US08494259B2 Biologically-inspired metadata extraction (BIME) of visual data using a multi-level universal scene descriptor (USD) 有权
标题翻译：使用多级通用场景描述符（USD）的视觉数据的生物学启发式元数据提取（BIME）
公开(公告)号：US08494259B2
公开(公告)日：2013-07-23
申请号：US12648123
申请日：2009-12-28
申请人： Mario Aguilar , Aaron Hawkins , Jiangying Zhou
发明人： Mario Aguilar , Aaron Hawkins , Jiangying Zhou
IPC分类号： G06K9/62 , G06K9/46 , G06K9/50
CPC分类号： G06K9/00718
摘要： A computer vision system provides a universal scene descriptor (USD) framework and methodology for using the USD framework to extract multi-level semantic metadata from scenes. The computer vision system adopts the human vision system principles of saliency, hierarchical feature extraction and hierarchical classification to systematically extract scene information at multiple semantic levels.
摘要翻译：计算机视觉系统提供了一种通用场景描述符（USD）框架和方法，用于使用USD框架从场景中提取多级语义元数据。计算机视觉系统采用人类视觉系统的显着原理，分层特征提取和层次分类，系统地提取多个语义层面的场景信息。

2. 发明申请

US20110158510A1 BIOLOGICALLY-INSPIRED METADATA EXTRACTION (BIME) OF VISUAL DATA USING A MULTI-LEVEL UNIVERSAL SCENE DESCRIPTOR (USD) 有权
标题翻译：使用多级通用场景描述符（USD）的视觉数据的生物学启发元数据提取（BIME）
公开(公告)号：US20110158510A1
公开(公告)日：2011-06-30
申请号：US12648123
申请日：2009-12-28
申请人： Mario Aguilar , Aaron Hawkins , Jiangying Zhou
发明人： Mario Aguilar , Aaron Hawkins , Jiangying Zhou
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/00718
摘要： A computer vision system provides a universal scene descriptor (USD) framework and methodology for using the USD framework to extract multi-level semantic metadata from scenes. The computer vision system adopts the human vision system principles of saliency, hierarchical feature extraction and hierarchical classification to systematically extract scene information at multiple semantic levels.
摘要翻译：计算机视觉系统提供了一种通用场景描述符（USD）框架和方法，用于使用USD框架从场景中提取多级语义元数据。计算机视觉系统采用人类视觉系统的显着原理，分层特征提取和层次分类，系统地提取多个语义层面的场景信息。

3. 发明申请

US20100100001A1 FIXATION-LOCKED MEASUREMENT OF BRAIN RESPONSES TO STIMULI 有权
标题翻译：针对STIMULI的脑反应的固定锁定测量
公开(公告)号：US20100100001A1
公开(公告)日：2010-04-22
申请号：US12645663
申请日：2009-12-23
申请人： Mario Aguilar , Aaron Hawkins , Patrick Connolly , Ming Qian
发明人： Mario Aguilar , Aaron Hawkins , Patrick Connolly , Ming Qian
IPC分类号： A61B5/0476 , A61B5/11
CPC分类号： A61B5/04842 , A61B3/113 , A61B5/04845 , A61B5/16 , A61B5/7267
摘要： Fixation-locked measurement of brain activity generates time-coded cues indicative of whether an operator exhibited a significant cognitive response to task-relevant stimuli. The free-viewing environment is one in which the presentation of stimuli is natural to the task encompassing both pre- and post-fixation stimuli and the operator is allowed to move his or her eyes naturally to perform the task.
摘要翻译：大脑活动的固定锁定测量产生指示操作者是否对任务相关刺激显示出显着的认知反应的时间编码提示。自由观察环境是一种刺激的演示对于包含固定前和固定后刺激的任务而言是自然的，并且允许操作者自然地移动他或她的眼睛来执行任务。

4. 发明授权

US08265743B2 Fixation-locked measurement of brain responses to stimuli 有权
标题翻译：大脑对刺激反应的固定锁定测量
公开(公告)号：US08265743B2
公开(公告)日：2012-09-11
申请号：US12645663
申请日：2009-12-23
申请人： Mario Aguilar , Aaron Hawkins , Patrick Connolly , Ming Qian
发明人： Mario Aguilar , Aaron Hawkins , Patrick Connolly , Ming Qian
IPC分类号： A61B5/04
CPC分类号： A61B5/04842 , A61B3/113 , A61B5/04845 , A61B5/16 , A61B5/7267
摘要： Fixation-locked measurement of brain activity generates time-coded cues indicative of whether an operator exhibited a significant cognitive response to task-relevant stimuli. The free-viewing environment is one in which the presentation of stimuli is natural to the task encompassing both pre- and post-fixation stimuli and the operator is allowed to move his or her eyes naturally to perform the task.
摘要翻译：大脑活动的固定锁定测量产生指示操作者是否对任务相关刺激显示出显着的认知反应的时间编码提示。自由观察环境是一种刺激的演示对于包含固定前和固定后刺激的任务而言是自然的，并且允许操作者自然地移动他或她的眼睛来执行任务。

5. 发明申请

US20110159467A1 EEG-BASED ACCELERATION OF SECOND LANGUAGE LEARNING 有权
标题翻译：基于脑电图加速第二语言学习
公开(公告)号：US20110159467A1
公开(公告)日：2011-06-30
申请号：US12650734
申请日：2009-12-31
申请人： MARK PEOT , Mario Aguilar , Aaron T. Hawkins
发明人： MARK PEOT , Mario Aguilar , Aaron T. Hawkins
IPC分类号： G09B19/06
CPC分类号： G09B19/06 , A61B3/113 , A61B5/0476 , A61B5/7267 , G09B7/06
摘要： EEG-based acceleration of second language learning is accomplished by measuring via single-trial EEG a learner's cognitive response to the presentation (visual or auditory) of language learning materials and updating a user model of latent traits related to language-learning skills in accordance with the cognitive response. The user model is suitably updated with each trial, each trial being triggered by learner fixation on a portion of visual materials and/or a next phoneme in auditory materials. Additional discrimination may be achieved through the use of saccades or fixation duration features.
摘要翻译：基于EEG的加速第二语言学习是通过单次EEG测量学习者对语言学习材料的呈现（视觉或听觉）的认知反应和根据语言学习技能更新与语言学习技能相关的潜在性状的用户模型来实现的认知反应。每个试验适当地更新用户模型，每个试验由一部分视觉材料上的学习者固定和/或听觉材料中的下一个音素触发。可以通过使用扫视或固定持续时间特征来实现额外的歧视。

6. 发明授权

US08758018B2 EEG-based acceleration of second language learning 有权
标题翻译：基于脑电图加速第二语言学习
公开(公告)号：US08758018B2
公开(公告)日：2014-06-24
申请号：US12650734
申请日：2009-12-31
申请人： Mark Peot , Mario Aguilar , Aaron T. Hawkins
发明人： Mark Peot , Mario Aguilar , Aaron T. Hawkins
IPC分类号： G09B17/00 , G09B19/08 , G09B5/02
CPC分类号： G09B19/06 , A61B3/113 , A61B5/0476 , A61B5/7267 , G09B7/06
摘要： EEG-based acceleration of second language learning is accomplished by measuring via single-trial EEG a learner's cognitive response to the presentation (visual or auditory) of language learning materials and updating a user model of latent traits related to language-learning skills in accordance with the cognitive response. The user model is suitably updated with each trial, each trial being triggered by learner fixation on a portion of visual materials and/or a next phoneme in auditory materials. Additional discrimination may be achieved through the use of saccades or fixation duration features.
摘要翻译：基于EEG的加速第二语言学习是通过单次EEG测量学习者对语言学习材料的呈现（视觉或听觉）的认知反应和根据语言学习技能更新与语言学习技能相关的潜在性状的用户模型来实现的认知反应。每个试验适当地更新用户模型，每个试验由一部分视觉材料上的学习者固定和/或听觉材料中的下一个音素触发。可以通过使用扫视或固定持续时间特征来实现额外的歧视。

7. 发明授权

US07940994B2 Multi-scale image fusion 有权
标题翻译：多尺度图像融合
公开(公告)号：US07940994B2
公开(公告)日：2011-05-10
申请号：US11599092
申请日：2006-11-14
申请人： Mario Aguilar
发明人： Mario Aguilar
IPC分类号： G06K9/40
CPC分类号： G06K9/00248 , G06T5/50
摘要： A multi-scale filter pyramid is applied to one or more components of a multi-component input image to produce a fused and enhanced image that can be mapped to a display, such as a color display.
摘要翻译：将多尺度滤波器金字塔应用于多分量输入图像的一个或多个分量，以产生可映射到显示器（例如彩色显示器）的融合和增强图像。

8. 发明申请

US20120172743A1 COUPLING HUMAN NEURAL RESPONSE WITH COMPUTER PATTERN ANALYSIS FOR SINGLE-EVENT DETECTION OF SIGNIFICANT BRAIN RESPONSES FOR TASK-RELEVANT STIMULI 有权
标题翻译：联合人类神经反应与计算机模式分析单一事件检测重要的脑应答任务相关STIMULI
公开(公告)号：US20120172743A1
公开(公告)日：2012-07-05
申请号：US11965325
申请日：2007-12-27
申请人： Mario Aguilar , Ming Qian
发明人： Mario Aguilar , Ming Qian
IPC分类号： A61B5/0484 , A61B3/02 , A61B5/048
CPC分类号： A61B5/0484 , A61B5/048 , A61B5/7267
摘要： The human neural response is coupled with computer pattern analysis for robust single-event detection of significant non-stationary brain responses triggered upon occurrence of a task-relevant stimulus. Classifier performance is enhanced fusing together the outputs of multiple different classifiers albeit multiple spatial classifiers to extract a temporal pattern as the brain response evolves, time and frequency-based spatio-temporal classifiers, and/or EEG and pupillary classifiers.
摘要翻译：人类神经反应与计算机模式分析相结合，用于在出现任务相关刺激时触发的显着的非平稳脑反应的鲁棒单事件检测。分类器性能增强了多个不同分类器的输出融合，尽管多个空间分类器随着大脑响应演变，时间和频率的时空分类器和/或脑电图和瞳孔分类器提取时间模式。

9. 发明授权

US08019703B2 Bayesian approach for sensor super-resolution 有权
标题翻译：贝叶斯方法用于传感器超分辨率
公开(公告)号：US08019703B2
公开(公告)日：2011-09-13
申请号：US12381298
申请日：2009-03-10
申请人： Mark Alan Peot , Mario Aguilar
发明人： Mark Alan Peot , Mario Aguilar
IPC分类号： G06F15/18
CPC分类号： G06T3/4053
摘要： Bayesian super-resolution techniques fuse multiple low resolution images (possibly from multiple bands) to infer a higher resolution image. The super-resolution and fusion concepts are portable to a wide variety of sensors and environmental models. The procedure is model-based inference of super-resolved information. In this approach, both the point spread function of the sub-sampling process and the multi-frame registration parameters are optimized simultaneously in order to infer an optimal estimate of the super-resolved imagery. The procedure involves a significant number of improvements, among them, more accurate likelihood estimates and a more accurate, efficient, and stable optimization procedure.
摘要翻译：贝叶斯超分辨率技术融合了多个低分辨率图像（可能来自多个频带）来推断更高分辨率的图像。超分辨率和融合概念可移植到各种传感器和环境模型中。该过程是基于模型的超分辨信息推理。在这种方法中，子采样过程的点扩散函数和多帧配准参数都被同时优化，以便推断超分辨图像的最优估计。该过程涉及大量改进，其中包括更准确的可能性估计和更精确，有效和稳定的优化程序。

10. 发明授权

US07938785B2 Fusion-based spatio-temporal feature detection for robust classification of instantaneous changes in pupil response as a correlate of cognitive response 有权
标题翻译：基于融合的时空特征检测，用于对瞳孔反应的瞬时变化的鲁棒分类，作为认知反应的相关性
公开(公告)号：US07938785B2
公开(公告)日：2011-05-10
申请号：US12358495
申请日：2009-01-23
申请人： Mario Aguilar , Karen N Zachery , Ming Qian , Claudio Privitera
发明人： Mario Aguilar , Karen N Zachery , Ming Qian , Claudio Privitera
IPC分类号： A61B13/00 , A61B5/103 , A61B5/117
CPC分类号： A61B3/112 , A61B5/16 , A61B5/7267
摘要： A computationally efficient and robust approach for monitoring the instantaneous pupil response as a correlate to significant cognitive response to relevant stimuli derives data samples d(n) of the pupil diameter (area), v(n) of pupil velocity and a(n) of pupil acceleration from the pupillary response and segments the data samples into a sequence of time-shifted windows. A feature extractor extracts a plurality of spatio-temporal pupil features from the data samples from the response and baseline periods in each window. A classifier trained to detect patterns of the extracted spatio-temporal pupil features for relevant stimuli generates an output indicative of the occurrence of absence of a significant cognitive response in the subject to a relevant stimulus.
摘要翻译：用于监测与相关刺激的显着认知反应相关的瞬时瞳孔响应的计算有效和鲁棒的方法导出瞳孔直径（面积），瞳孔速度v（n）的数据样本d（n）和瞳孔速度的（n）瞳孔响应的瞳孔加速度，并将数据样本分段成一系列时移窗口。特征提取器从每个窗口中的响应和基线周期从数据样本中提取多个时空瞳孔特征。训练用于检测针对相关刺激的提取的时空瞳孔特征的模式的分类器产生指示在受试者中对相关刺激不存在显着认知反应的输出。

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