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1. 发明授权

US10185869B2 Filter and shutter based on image emotion content 有权
公开(公告)号：US10185869B2
公开(公告)日：2019-01-22
申请号：US15234763
申请日：2016-08-11
申请人： Emotient, Inc.
发明人： Javier Movellan , Ken Denman , Joshua Susskind
IPC分类号： G06K9/00 , G06K9/46 , G06K9/62 , H04N5/232
摘要： A computer-implemented (including method implemented using laptop, desktop, mobile, and wearable devices) method for image filtering. The method includes analyzing each image to generate a content vector for the image; applying an interest operator to the content vector, the interest operator being based on a plurality of pictures with desirable characteristics, thereby obtaining an interest index for the image; comparing the interest index for the image to an interest threshold; and taking one or more actions or abstaining from one or more actions based on a result of the step of comparing. Also, related systems and articles of manufacture.

2. 发明授权

US10007921B2 Automatic analysis of rapport 有权
公开(公告)号：US10007921B2
公开(公告)日：2018-06-26
申请号：US14742711
申请日：2015-06-18
申请人： Emotient, Inc.
发明人： Javier Movellan , Marian Steward Bartlett , Ian Fasel , Gwen Ford Littlewort , Joshua Susskind , Jacob Whitehill
IPC分类号： G06K9/00 , G06Q30/02 , G06K9/62 , G06N99/00
CPC分类号： G06Q30/0201 , G06K9/00302 , G06K9/00315 , G06K9/627 , G06N20/00
摘要： In selected embodiments, one or more wearable mobile devices provide videos and other sensor data of one or more participants in an interaction, such as a customer service or a sales interaction between a company employee and a customer. A computerized system uses machine learning expression classifiers, temporal filters, and a machine learning function approximator to estimate the quality of the interaction. The computerized system may include a recommendation selector configured to select suggestions for improving the current interaction and/or future interactions, based on the quality estimates and the weights of the machine learning approximator.

3. 发明授权

US09443167B2 Filter and shutter based on image emotion content 有权
标题翻译：基于图像情感内容的滤镜和快门
公开(公告)号：US09443167B2
公开(公告)日：2016-09-13
申请号：US14451409
申请日：2014-08-04
申请人： Emotient, Inc.
发明人： Javier Movellan , Ken Denman , Joshua Susskind
IPC分类号： G06K9/00 , G06K9/62 , H04N5/232
CPC分类号： G06K9/00302 , G06K9/4671 , G06K9/6202 , H04N5/232 , H04N5/23219
摘要： A computer-implemented (including method implemented using laptop, desktop, mobile, and wearable devices) method for image filtering. The method includes analyzing each image to generate a content vector for the image; applying an interest operator to the content vector, the interest operator being based on a plurality of pictures with desirable characteristics, thereby obtaining an interest index for the image; comparing the interest index for the image to an interest threshold; and taking one or more actions or abstaining from one or more actions based on a result of the step of comparing. Also, related systems and articles of manufacture.
摘要翻译：计算机实现（包括使用膝上型计算机，桌面，移动和可穿戴设备实现的方法）用于图像过滤的方法。该方法包括分析每个图像以生成图像的内容向量; 将兴趣运算符应用于内容向量，兴趣操作者基于具有期望特征的多个图片，从而获得图像的兴趣索引; 将图像的兴趣指数与兴趣阈值进行比较; 并基于比较步骤的结果，采取一个或多个动作或放弃一个或多个动作。另外，相关的系统和制造。

4. 发明授权

US09547808B2 Head-pose invariant recognition of facial attributes 有权
标题翻译：面部特征的头姿不变识别
公开(公告)号：US09547808B2
公开(公告)日：2017-01-17
申请号：US14802587
申请日：2015-07-17
申请人： Emotient, Inc.
发明人： Jacob Whitehill , Javier R. Movellan , Ian Fasel
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00302 , G06K9/00281 , G06K9/00308 , G06K9/3208 , G06K9/627 , G06K9/6292 , G06K2209/27
摘要： A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.
摘要翻译：系统便于自动识别面部表情或其他面部属性。该系统包括数据访问模块和表达式引擎。表达式引擎还包括一组专用表达式引擎，姿态检测模块和组合器模块。数据访问模块访问头部的面部图像。专门的表达式引擎集合产生一组特殊的表达度量，其中每个专门的表达度量是表示头部的特定取向的面部图像的面部表情的指示。姿势检测模块从脸部图像确定头部的方向。基于所确定的头部方向和每个专门表达度量的假定取向，组合器模块组合了一组专用表情度量以确定面部图像的面部表情度量，该面部图像基本上不变于头部方向。

5. 发明授权

US09202110B2 Automatic analysis of rapport 有权
标题翻译：自动分析关系
公开(公告)号：US09202110B2
公开(公告)日：2015-12-01
申请号：US14185918
申请日：2014-02-20
申请人： Emotient
发明人： Javier Movellan , Marian Steward Bartlett , Ian Fasel , Gwen Ford Littlewort , Joshua Susskind , Jacob Whitehill
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06Q30/0201 , G06K9/00302 , G06K9/00315 , G06K9/627 , G06N99/005
摘要： In selected embodiments, one or more wearable mobile devices provide videos and other sensor data of one or more participants in an interaction, such as a customer service or a sales interaction between a company employee and a customer. A computerized system uses machine learning expression classifiers, temporal filters, and a machine learning function approximator to estimate the quality of the interaction. The computerized system may include a recommendation selector configured to select suggestions for improving the current interaction and/or future interactions, based on the quality estimates and the weights of the machine learning approximator.
摘要翻译：在所选择的实施例中，一个或多个穿戴式移动设备提供交互中的一个或多个参与者的视频和其他传感器数据，例如客户服务或公司雇员和顾客之间的销售交互。计算机化系统使用机器学习表达式分类器，时间滤波器和机器学习函数逼近器来估计交互的质量。计算机化系统可以包括推荐选择器，其被配置为基于质量估计和机器学习近似器的权重来选择用于改善当前交互和/或未来交互的建议。

6. 发明授权

US10248851B2 Collection of machine learning training data for expression recognition 有权
公开(公告)号：US10248851B2
公开(公告)日：2019-04-02
申请号：US15714486
申请日：2017-09-25
申请人： Emotient, Inc.
发明人： Javier Movellan , Marian Stewart Bartlett , Ian Fasel , Gwen Ford Littlewort , Joshua Susskind , Jacob Whitehill
IPC分类号： G06K9/00 , G06K9/03 , G06K9/62
摘要： Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

7. 发明申请

US20180012067A1 COLLECTION OF MACHINE LEARNING TRAINING DATA FOR EXPRESSION RECOGNITION 审中-公开
公开(公告)号：US20180012067A1
公开(公告)日：2018-01-11
申请号：US15714486
申请日：2017-09-25
申请人： Emotient, Inc.
发明人： Javier MOVELLAN , Marian Stewart BARTLETT , Ian FASEL , Gwen Ford LITTLEWORT , Joshua SUSSKIND , Jacob WHITEHILL
IPC分类号： G06K9/00 , G06K9/03 , G06K9/62
CPC分类号： G06K9/00302 , G06K9/00308 , G06K9/036 , G06K9/6262
摘要： Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

8. 发明授权

US09552535B2 Data acquisition for machine perception systems 有权
标题翻译：机器感知系统的数据采集
公开(公告)号：US09552535B2
公开(公告)日：2017-01-24
申请号：US14178208
申请日：2014-02-11
申请人： Emotient, Inc.
发明人： Javier Movellan , Marian Stewart Bartlett , Ian Fasel , Gwen Ford Littlewort , Joshua Susskind , Jacob Whitehill
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/6262 , G06K9/00308
摘要： Apparatus, methods, and articles of manufacture for obtaining examples that break a visual expression classifier at user devices such as tablets, smartphones, personal computers, and cameras. The examples are sent from the user devices to a server. The server may use the examples to update the classifier, and then distribute the updated classifier code and/or updated classifier parameters to the user devices. The users of the devices may be incentivized to provide the examples that break the classifier, for example, by monetary reward, access to updated versions of the classifier, public ranking or recognition of the user, a self-rewarding game. The examples may be evaluated using a pipeline of untrained crowdsourcing providers and trained experts. The examples may contain user images and/or depersonalized information extracted from the user images.
摘要翻译：用于获得例如在诸如平板电脑，智能电话，个人计算机和照相机之类的用户设备处断开视觉表达分类器的示例的装置，方法和制品。这些示例从用户设备发送到服务器。服务器可以使用示例来更新分类器，然后将更新的分类器代码和/或更新的分类器参数分发给用户设备。可以激励设备的用户提供例如通过金钱奖励，访问分类器的更新版本，公共排名或用户识别，自我奖励游戏来破坏分类器的示例。这些例子可以使用未经培训的众包提供商和经过培训的专家的管道进行评估。这些示例可以包含从用户图像提取的用户图像和/或非个人化信息。

9. 发明授权

US10319130B2 Anonymization of facial images 有权
公开(公告)号：US10319130B2
公开(公告)日：2019-06-11
申请号：US15583286
申请日：2017-05-01
申请人： Emotient, Inc.
发明人： Jacob Whitehill , Javier R. Movellan , Ian Fasel
IPC分类号： G06K9/00 , G06T11/60 , G06T3/00 , H04N19/20 , G06T11/00
摘要： A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.

10. 发明授权

US09852327B2 Head-pose invariant recognition of facial attributes 有权
公开(公告)号：US09852327B2
公开(公告)日：2017-12-26
申请号：US15406034
申请日：2017-01-13
申请人： Emotient, Inc.
发明人： Jacob Whitehill , Javier R. Movellan , Ian Fasel
IPC分类号： G06K9/00 , G06K9/62 , G06K9/32
CPC分类号： G06K9/00302 , G06K9/00281 , G06K9/00308 , G06K9/3208 , G06K9/627 , G06K9/6292 , G06K2209/27
摘要： A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.

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