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1. 发明申请

US20170169715A1 USER STATE MODEL ADAPTATION THROUGH MACHINE DRIVEN LABELING 审中-公开
公开(公告)号：US20170169715A1
公开(公告)日：2017-06-15
申请号：US14964458
申请日：2015-12-09
申请人： NESE ALYUZ CIVITCI , EDA OKUR , ASLI ARSLAN ESME , SINEM ASLAN , ECE OKTAY , SINEM E. METE , HASAN UNLU , DAVID STANHILL , VLADIMIR SHLAIN , PINI ABRAMOVITCH , EYAL ROND
发明人： NESE ALYUZ CIVITCI , EDA OKUR , ASLI ARSLAN ESME , SINEM ASLAN , ECE OKTAY , SINEM E. METE , HASAN UNLU , DAVID STANHILL , VLADIMIR SHLAIN , PINI ABRAMOVITCH , EYAL ROND
IPC分类号： G09B5/06 , G06N99/00
CPC分类号： G09B5/06 , G06N20/00
摘要： Embodiments herein relate to generating a personalized model using a machine learning process, identifying a learning engagement state of a learner based at least in part on the personalized model, and tailoring computerized provision of an educational program to the learner based on the learning engagement state. An apparatus to provide a computer-aided educational program may include one or more processors operating modules that may receive indications of interactions of a learner and indications of physical responses of the learner, generate a personalized model using a machine learning process based at least in part on the interactions of the learner and the indications of physical responses of the learner during a calibration time period, and identify a current learning state of the learner based at least in part on the personalized model during a usage time period. Other embodiments may be described and/or claimed.

2. 发明申请

US20140267826A1 APPARATUS AND TECHNIQUES FOR IMAGE PROCESSING 有权
标题翻译：图像处理的装置和技术
公开(公告)号：US20140267826A1
公开(公告)日：2014-09-18
申请号：US13797898
申请日：2013-03-12
申请人： JEFFREY DANOWITZ , SARIT SHWARTZ , ZIV AVIV , DAVID STANHILL
发明人： JEFFREY DANOWITZ , SARIT SHWARTZ , ZIV AVIV , DAVID STANHILL
IPC分类号： H04N5/235
CPC分类号： H04N5/235 , H04N5/23229 , H04N9/735
摘要： An apparatus may include an image sensor that contains a multiplicity of pixel elements to detect one or more images and a processor circuit coupled to the image sensor. The apparatus may include a white balance module for execution on the processor circuit to receive, based upon a detected image of the one or more images, for a plurality of pixel elements of the multiplicity of pixel elements, three of more gray level values for a respective three or more color channels, to determine grayness likelihood functions for the respective three or more color channels, the three or more grayness likelihood functions comprising a proportional contribution to grey pixels of the detected image from one or more gray levels for each respective color channel, and to determine a white balance gain for two or more color channels based upon the determined grayness likelihood functions. Other embodiments are described and claimed.
摘要翻译：装置可以包括图像传感器，其包含用于检测一个或多个图像的多个像素元件和耦合到图像传感器的处理器电路。该装置可以包括用于在处理器电路上执行的白平衡模块，用于基于对于多个像素元素的多个像素元素的一个或多个图像的检测图像来接收三个以上的灰度级值相应的三个或更多个颜色通道，以确定相应的三个或更多个颜色通道的灰度似然函数，所述三个或更多个灰度似然函数包括对于每个相应颜色通道的来自一个或多个灰度级的所检测图像的灰度像素的比例贡献并且基于所确定的灰度似然函数来确定两个或更多个颜色通道的白平衡增益。描述和要求保护其他实施例。

3. 发明申请

US20160086088A1 FACILITATING DYNAMIC AFFECT-BASED ADAPTIVE REPRESENTATION AND REASONING OF USER BEHAVIOR ON COMPUTING DEVICES 审中-公开
标题翻译：促进基于动态影响的自适应表示和用户行为对计算设备的理解
公开(公告)号：US20160086088A1
公开(公告)日：2016-03-24
申请号：US14495094
申请日：2014-09-24
申请人： RAANAN YONATAN YEHEZKEL , DAVID STANHILL
发明人： RAANAN YONATAN YEHEZKEL , DAVID STANHILL
IPC分类号： G06N5/04 , G06N99/00
CPC分类号： G06N20/00 , G06K9/00302 , G06K9/00335 , G06K9/6221 , G06K9/6286
摘要： A mechanism is described for facilitating affect-based adaptive representation of user behavior relating to user expressions on computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving a plurality of expressions communicated by a user. The plurality of expressions may include one or more visual expressions or one or more audio expressions. The method may further include extracting a plurality of features associated with the plurality of expressions, where each feature reveals a behavior trait of the user when the user communicates a corresponding expression. The method may further include mapping the plurality of expressions on a model based on the plurality of features, and discovering a behavioral reasoning associated with each of the plurality of expressions communicated by the user based on a mapping pattern as inferred from the model.
摘要翻译：描述了根据一个实施例的用于促进与计算设备上的用户表达相关的用户行为的基于影响的自适应表示的机制。如本文所述的实施例的方法包括接收由用户传达的多个表达。多个表达可以包括一个或多个视觉表达或一个或多个音频表达。该方法还可以包括提取与多个表达相关联的多个特征，其中当用户传达对应表达时，每个特征揭示用户的行为特征。该方法还可以包括基于多个特征将多个表达式映射到模型上，并且基于从模型推断出的映射模式来发现与由用户传达的多个表达中的每一个相关联的行为推理。

4. 发明申请

US20140267701A1 APPARATUS AND TECHNIQUES FOR DETERMINING OBJECT DEPTH IN IMAGES 审中-公开
标题翻译：用于确定图像中目标深度的设备和技术
公开(公告)号：US20140267701A1
公开(公告)日：2014-09-18
申请号：US13797885
申请日：2013-03-12
申请人： ZIV AVIV , DAVID STANHILL
发明人： ZIV AVIV , DAVID STANHILL
IPC分类号： G01C11/02
CPC分类号： G01C11/025 , G01B11/2513 , G01B11/2531 , G01B11/2536 , G06T7/521 , G06T2207/20016
摘要： An apparatus may include an emitter to project a low resolution optical pattern and a high resolution optical pattern having a finer resolution than the low resolution optical pattern and a sensor to detect a composite image, where the composite image comprises a low resolution optical reflection pattern comprising reflection of the projected low resolution optical pattern and a high resolution optical reflection pattern comprising a reflection of the projected high resolution optical pattern. The apparatus may also include logic to determine object depth in a first depth range and object depth in a second depth range based upon the detected composite image. Other embodiments are disclosed and claimed.
摘要翻译：一种装置可以包括投影低分辨率光学图案的发射器和具有比低分辨率光学图案更精细的分辨率的高分辨率光学图案和用于检测合成图像的传感器，其中合成图像包括低分辨率光学反射图案，其包括投影的低分辨率光学图案的反射和包括投射的高分辨率光学图案的反射的高分辨率光学反射图案。该装置还可以包括基于检测到的合成图像来确定第一深度范围中的物体深度和第二深度范围内的物体深度的逻辑。公开和要求保护其他实施例。

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