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1. 发明授权

US09159324B2 Identifying people that are proximate to a mobile device user via social graphs, speech models, and user context 有权
标题翻译：通过社交图，语音模型和用户上下文识别移动设备用户附近的人
公开(公告)号：US09159324B2
公开(公告)日：2015-10-13
申请号：US13344726
申请日：2012-01-06
申请人： Leonard Henry Grokop , Vidya Narayanan
发明人： Leonard Henry Grokop , Vidya Narayanan
IPC分类号： G10L15/00 , G10L17/00 , G10L17/10 , G10L17/04
CPC分类号： G10L17/10 , G10L17/04
摘要： Techniques are provided to improve identification of a person using speaker recognition. In one embodiment, a unique social graph may be associated with each of a plurality of defined contexts. The social graph may indicate speakers likely to be present in a particular context. Thus, an audio signal including a speech signal may be collected and processed. A context may be inferred, and a corresponding social graph may be identified. A set of potential speakers may be determined based on the social graph. The processed signal may then be compared to a restricted set of speech models, each speech model being associated with a potential speaker. By limiting the set of potential speakers, speakers may be more accurately identified.
摘要翻译：提供技术来改善使用说话者识别的人的识别。在一个实施例中，唯一的社交图可以与多个定义的上下文中的每一个相关联。社交图可以指示可能在特定上下文中存在的说话者。因此，可以收集并处理包括语音信号的音频信号。可以推断上下文，并且可以识别相应的社会图。可以根据社交图确定一组潜在的发言者。然后可以将经处理的信号与有限的一组语音模型进行比较，每个语音模型与潜在的说话者相关联。通过限制潜在扬声器的集合，可以更准确地识别扬声器。

2. 发明申请

US20130303198A1 INFERRING A CONTEXT FROM CROWD-SOURCED ACTIVITY DATA 有权
标题翻译：感染CROWD-SOURCED活动数据的背景
公开(公告)号：US20130303198A1
公开(公告)日：2013-11-14
申请号：US13627702
申请日：2012-09-26
申请人： Shankar Sadasivam , Leonard Henry Grokop , Vidya Narayanan
发明人： Shankar Sadasivam , Leonard Henry Grokop , Vidya Narayanan
IPC分类号： H04W4/02
CPC分类号： G01S19/39 , G01S5/02 , G01S5/0278 , G01S19/48 , H04M1/72569 , H04W4/023
摘要： Techniques are provided to infer a context associated with a mobile device based on aggregated data from a set of other mobile devices. The set of mobile devices can include mobile devices currently or previously near a location of the mobile device. Each mobile device in the set of other mobile devices can collect sensor data and infer a low-level context (e.g., “sitting” or “standing”). The low-level contexts can be aggregated. Based on the aggregated low-level contexts, a high-level context (e.g., “at a party” or “watching television”) associated with the mobile device can be inferred or a low-level context associated with the mobile device can be refined.
摘要翻译：提供技术来基于来自一组其他移动设备的聚合数据来推断与移动设备相关联的上下文。该组移动设备可以包括当前或之前在移动设备的位置附近的移动设备。该组其他移动设备中的每个移动设备可以收集传感器数据并推断低级上下文（例如，“坐”或“站立”）。低级上下文可以聚合。基于聚合的低级上下文，可以推断与移动设备相关联的高级上下文（例如，“在一方”或“看电视”），或者可以改进与移动设备相关联的低级上下文。

3. 发明授权

US09366749B2 Device position estimates from motion and ambient light classifiers 有权
标题翻译：来自运动和环境光分类器的装置位置估计
公开(公告)号：US09366749B2
公开(公告)日：2016-06-14
申请号：US13348497
申请日：2012-01-11
申请人： Leonard Henry Grokop , Vidya Narayanan
发明人： Leonard Henry Grokop , Vidya Narayanan
IPC分类号： G06F15/00 , G01C19/00 , G01S5/16 , G01C21/16 , G06F1/16 , H04M1/725 , G01C19/34 , G01C19/44
CPC分类号： G01S5/16 , G01C19/34 , G01C19/44 , G01C21/165 , G06F1/1686 , G06F1/1694 , H04M1/72522
摘要： A position estimate for a mobile device is generated using data from motion sensors, such as accelerometers, magnetometers, and/or gyroscopes, and data from light sensors, such as an ambient light sensor, proximity sensor and/or camera intensity sensor. A plurality of proposed positions with associated likelihoods is generated by analyzing information from the motion sensors and a list of candidate positions is produced based on information from the light sensors. At least one of the plurality of proposed positions is eliminated using the list of candidate positions and a position estimate for the mobile device is determined based on the remaining proposed positions and associated likelihoods. The proposed positions may be generated by extracting features from the information from the motion sensors and using models to generate likelihoods for the proposed positions. The likelihoods may be filtered over time. Additionally, a confidence metric may be generated for the estimated position.
摘要翻译：使用来自诸如加速度计，磁力计和/或陀螺仪的运动传感器的数据以及来自诸如环境光传感器，接近传感器和/或照相机强度传感器的光传感器的数据来生成移动设备的位置估计。通过分析来自运动传感器的信息来产生具有相关似然性的多个提出的位置，并且基于来自光传感器的信息产生候选位置的列表。使用候选位置的列表来消除多个提出的位置中的至少一个，并且基于剩余的建议位置和相关联的可能性来确定移动设备的位置估计。可以通过从运动传感器的信息中提取特征并使用模型来产生所提出的位置的可能性来产生所提出的位置。可能性可能会随时间过滤。另外，可以为估计位置生成置信度量度。

4. 发明授权

US09398396B2 Method and apparatus for characterizing context of a mobile device 有权
标题翻译：用于表征移动设备的上下文的方法和装置
公开(公告)号：US09398396B2
公开(公告)日：2016-07-19
申请号：US13269178
申请日：2011-10-07
申请人： Leonard Henry Grokop , Anthony Sarah , Vidya Narayanan
发明人： Leonard Henry Grokop , Anthony Sarah , Vidya Narayanan
IPC分类号： H04N7/18 , H04W4/00
CPC分类号： H04W4/001 , H04W4/50
摘要： Information about a context of a mobile device is inferred using measurements from light detectors of the mobile device. The light detectors may be located on multiple different sides of the mobile device. In some embodiments, measurements from one or more cameras may be used to infer context.
摘要翻译：使用来自移动设备的光检测器的测量来推断关于移动设备的上下文的信息。光检测器可以位于移动设备的多个不同侧面上。在一些实施例中，来自一个或多个照相机的测量可用于推断上下文。

5. 发明申请

US20120182420A1 METHOD AND APPARATUS FOR CHARACTERIZING CONTEXT OF A MOBILE DEVICE 有权
标题翻译：用于表征移动设备的背景的方法和装置
公开(公告)号：US20120182420A1
公开(公告)日：2012-07-19
申请号：US13269178
申请日：2011-10-07
申请人： Leonard Henry Grokop , Anthony Sarah , Vidya Narayanan
发明人： Leonard Henry Grokop , Anthony Sarah , Vidya Narayanan
IPC分类号： H04N7/18
CPC分类号： H04W4/001 , H04W4/50
摘要： Information about a context of a mobile device is inferred using measurements from light detectors of the mobile device. The light detectors may be located on multiple different sides of the mobile device. In some embodiments, measurements from one or more cameras may be used to infer context.
摘要翻译：使用来自移动设备的光检测器的测量来推断关于移动设备的上下文的信息。光检测器可以位于移动设备的多个不同侧面上。在一些实施例中，来自一个或多个照相机的测量可用于推断上下文。

6. 发明授权

US08948789B2 Inferring a context from crowd-sourced activity data 有权
标题翻译：从人群来源的活动数据中提取上下文
公开(公告)号：US08948789B2
公开(公告)日：2015-02-03
申请号：US13627702
申请日：2012-09-26
申请人： Shankar Sadasivam , Leonard Henry Grokop , Vidya Narayanan
发明人： Shankar Sadasivam , Leonard Henry Grokop , Vidya Narayanan
IPC分类号： H04W24/00 , H04M3/42
CPC分类号： G01S19/39 , G01S5/02 , G01S5/0278 , G01S19/48 , H04M1/72569 , H04W4/023
摘要： Techniques are provided to infer a context associated with a mobile device based on aggregated data from a set of other mobile devices. The set of mobile devices can include mobile devices currently or previously near a location of the mobile device. Each mobile device in the set of other mobile devices can collect sensor data and infer a low-level context (e.g., “sitting” or “standing”). The low-level contexts can be aggregated. Based on the aggregated low-level contexts, a high-level context (e.g., “at a party” or “watching television”) associated with the mobile device can be inferred or a low-level context associated with the mobile device can be refined.
摘要翻译：提供技术来基于来自一组其他移动设备的聚合数据来推断与移动设备相关联的上下文。该组移动设备可以包括当前或之前在移动设备的位置附近的移动设备。该组其他移动设备中的每个移动设备可以收集传感器数据并推断低级上下文（例如，“坐”或“站立”）。低级上下文可以聚合。基于聚合的低级上下文，可以推断与移动设备相关联的高级上下文（例如，“在一方”或“看电视”），或者可以改进与移动设备相关联的低级上下文。

7. 发明申请

US20130006634A1 IDENTIFYING PEOPLE THAT ARE PROXIMATE TO A MOBILE DEVICE USER VIA SOCIAL GRAPHS, SPEECH MODELS, AND USER CONTEXT 有权
标题翻译：通过社会格局，语音模型和用户语境识别移动设备用户的身份识别
公开(公告)号：US20130006634A1
公开(公告)日：2013-01-03
申请号：US13344726
申请日：2012-01-06
申请人： Leonard Henry Grokop , Vidya Narayanan
发明人： Leonard Henry Grokop , Vidya Narayanan
IPC分类号： G10L15/06 , G10L17/00
CPC分类号： G10L17/10 , G10L17/04
摘要： Techniques are provided to improve identification of a person using speaker recognition. In one embodiment, a unique social graph may be associated with each of a plurality of defined contexts. The social graph may indicate speakers likely to be present in a particular context. Thus, an audio signal including a speech signal may be collected and processed. A context may be inferred, and a corresponding social graph may be identified. A set of potential speakers may be determined based on the social graph. The processed signal may then be compared to a restricted set of speech models, each speech model being associated with a potential speaker. By limiting the set of potential speakers, speakers may be more accurately identified.
摘要翻译：提供技术来改善使用说话者识别的人的识别。在一个实施例中，唯一的社交图可以与多个定义的上下文中的每一个相关联。社交图可以指示可能在特定上下文中存在的说话者。因此，可以收集并处理包括语音信号的音频信号。可以推断上下文，并且可以识别相应的社会图。可以根据社交图确定一组潜在的发言者。然后可以将经处理的信号与有限的一组语音模型进行比较，每个语音模型与潜在的说话者相关联。通过限制潜在扬声器的集合，可以更准确地识别扬声器。

8. 发明申请

US20130006633A1 LEARNING SPEECH MODELS FOR MOBILE DEVICE USERS 审中-公开
标题翻译：学习移动设备用户的语音模型
公开(公告)号：US20130006633A1
公开(公告)日：2013-01-03
申请号：US13344026
申请日：2012-01-05
申请人： Leonard Henry Grokop , Vidya Narayanan
发明人： Leonard Henry Grokop , Vidya Narayanan
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G06N7/005 , G10L2015/0631
摘要： Techniques are provided to recognize a speaker's voice. In one embodiment, received audio data may be separated into a plurality of signals. For each signal, the signal may be associated with value/s for one or more features (e.g., Mel-Frequency Cepstral coefficients). The received data may be clustered (e.g., by clustering features associated with the signals). A predominate voice cluster may be identified and associated with a user. A speech model (e.g., a Gaussian Mixture Model or Hidden Markov Model) may be trained based on data associated with the predominate cluster. A received audio signal may then be processed using the speech model to, e.g.: determine who was speaking; determine whether the user was speaking; determining whether anyone was speaking; and/or determine what words were said. A context of the device or the user may then be inferred based at least partly on the processed signal.
摘要翻译：提供技术来识别扬声器的声音。在一个实施例中，所接收的音频数据可以被分成多个信号。对于每个信号，信号可以与一个或多个特征（例如，梅尔频率倒频谱系数）的值/ s相关联。接收到的数据可以被聚类（例如，通过聚集与信号相关联的特征）。可以识别主要的语音群集并且与用户相关联。可以基于与主要簇相关联的数据来训练语音模型（例如，高斯混合模型或隐马尔可夫模型）。然后可以使用语音模型来处理接收到的音频信号，例如：确定谁在说话; 确定用户是否在说话; 确定是否有人在说话; 和/或确定说什么话。可以至少部分地基于经处理的信号来推断设备或用户的上下文。

9. 发明申请

US20120265482A1 DEVICE POSITION ESTIMATES FROM MOTION AND AMBIENT LIGHT CLASSIFIERS 有权
标题翻译：设备位置从运动和环境光分类器估计
公开(公告)号：US20120265482A1
公开(公告)日：2012-10-18
申请号：US13348497
申请日：2012-01-11
申请人： Leonard Henry Grokop , Vidya Narayanan
发明人： Leonard Henry Grokop , Vidya Narayanan
IPC分类号： G06F15/00
CPC分类号： G01S5/16 , G01C19/34 , G01C19/44 , G01C21/165 , G06F1/1686 , G06F1/1694 , H04M1/72522
摘要： A position estimate for a mobile device is generated using data from motion sensors, such as accelerometers, magnetometers, and/or gyroscopes, and data from light sensors, such as an ambient light sensor, proximity sensor and/or camera intensity sensor. A plurality of proposed positions with associated likelihoods is generated by analyzing information from the motion sensors and a list of candidate positions is produced based on information from the light sensors. At least one of the plurality of proposed positions is eliminated using the list of candidate positions and a position estimate for the mobile device is determined based on the remaining proposed positions and associated likelihoods. The proposed positions may be generated by extracting features from the information from the motion sensors and using models to generate likelihoods for the proposed positions. The likelihoods may be filtered over time. Additionally, a confidence metric may be generated for the estimated position.
摘要翻译：使用来自诸如加速度计，磁力计和/或陀螺仪的运动传感器的数据以及来自诸如环境光传感器，接近传感器和/或照相机强度传感器的光传感器的数据来生成移动设备的位置估计。通过分析来自运动传感器的信息来产生具有相关似然性的多个提出的位置，并且基于来自光传感器的信息产生候选位置的列表。使用候选位置的列表来消除多个提出的位置中的至少一个，并且基于剩余的建议位置和相关联的可能性来确定移动设备的位置估计。可以通过从运动传感器的信息中提取特征并使用模型来产生所提出的位置的可能性来产生所提出的位置。可能性可能会随时间过滤。另外，可以为估计位置生成置信度量度。

10. 发明授权

US08930300B2 Systems, methods, and apparatuses for classifying user activity using temporal combining in a mobile device 有权
标题翻译：用于在移动设备中使用时间组合分类用户活动的系统，方法和装置
公开(公告)号：US08930300B2
公开(公告)日：2015-01-06
申请号：US13362893
申请日：2012-01-31
申请人： Leonard Henry Grokop , Anthony Sarah , Sanjiv Nanda
发明人： Leonard Henry Grokop , Anthony Sarah , Sanjiv Nanda
IPC分类号： A61B5/11 , G06K9/00 , G06K9/62 , G06N7/00
CPC分类号： A61B5/1123 , G06K9/00348 , G06K9/00536 , G06K9/6288 , G06N7/00 , G06N7/005
摘要： Components, methods, and apparatuses are provided for determining activity likelihood function values for an activity classification for two or more past epochs based, at least in part, on signals from one or more sensors of a mobile device. A method may comprise, for each of a plurality of activity classifications, determining activity likelihood function values for each of the plurality of activity classifications for two or more past epochs. The activity likelihood function values may be based on signals from one or more sensors of a mobile device. The method may also include combining the activity likelihood function values to determine a likelihood function for an activity classification at a present epoch. The method may also include inferring a present activity of a user co-located with the mobile device to be one of the activity classifications based on the determined likelihood functions for the activity classifications at the present epoch.
摘要翻译：提供了组件，方法和装置，用于至少部分地基于来自移动设备的一个或多个传感器的信号来确定用于两个或多个过去时期的活动分类的活动似然函数值。对于多个活动分类中的每一个，方法可以包括针对两个或多个过去时期的多个活动分类中的每一个确定活动似然函数值。活动似然函数值可以基于来自移动设备的一个或多个传感器的信号。该方法还可以包括组合活动似然函数值以确定在当前时期的活动分类的似然函数。该方法还可以包括基于所确定的当前时期的活动分类的似然函数，将与移动设备共存的用户的当前活动推断为活动分类之一。

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