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1. 发明授权

US09417704B1 Gesture onset detection on multiple devices 有权
标题翻译：手势起始检测多个设备
公开(公告)号：US09417704B1
公开(公告)日：2016-08-16
申请号：US14218168
申请日：2014-03-18
申请人： Google Inc.
发明人： Boris Smus , Christian Plagemann , Ankit Mohan
IPC分类号： G06F3/01
CPC分类号： G06F3/017 , G06F3/0346 , G06F3/1454
摘要： Implementations of the disclosed subject matter provide techniques for improved identification of a gesture based on data obtained from multiple devices. A method may include receiving an indication of an onset of a gesture, from a first device, at a gesture coordinating device. Next, first subsequent data describing the gesture may be received from a second device, at the gesture coordinating device. Based on the indication and the first subsequent data, the gesture may be identified. In response to identification of the gesture, an action may be performed based on the gesture identified. In some cases, the gesture coordinating device may be a cloud-based device.
摘要翻译：所公开的主题的实现提供了基于从多个设备获得的数据来改进手势识别的技术。方法可以包括在手势协调装置处从第一装置接收手势开始的指示。接下来，可以在手势协调装置处从第二装置接收描述手势的第一后续数据。基于指示和第一后续数据，可以识别手势。响应于手势的识别，可以基于所识别的手势来执行动作。在一些情况下，手势协调装置可以是基于云的装置。

2. 发明授权

US09791940B1 Gesture onset detection on multiple devices 有权
公开(公告)号：US09791940B1
公开(公告)日：2017-10-17
申请号：US15392948
申请日：2016-12-28
申请人： Google Inc.
发明人： Boris Smus , Christian Plagemann , Ankit Mohan
IPC分类号： G06F3/01 , G06F3/14
CPC分类号： G06F3/017 , G06F3/0346 , G06F3/1454
摘要： Implementations of the disclosed subject matter provide techniques for improved identification of a gesture based on data obtained from multiple devices. A method may include receiving an indication of an onset of a gesture, from a first device, at a gesture coordinating device. Next, first subsequent data describing the gesture may be received from a second device, at the gesture coordinating device. Based on the indication and the first subsequent data, the gesture may be identified. In response to identification of the gesture, an action may be performed based on the gesture identified. In some cases, the gesture coordinating device may be a cloud-based device.

3. 发明授权

US09563280B1 Gesture onset detection on multiple devices 有权
标题翻译：手势起始检测多个设备
公开(公告)号：US09563280B1
公开(公告)日：2017-02-07
申请号：US15227045
申请日：2016-08-03
申请人： Google Inc.
发明人： Boris Smus , Christian Plagemann , Ankit Mohan
IPC分类号： G06F3/01
CPC分类号： G06F3/017 , G06F3/0346 , G06F3/1454
摘要： Implementations of the disclosed subject matter provide techniques for improved identification of a gesture based on data obtained from multiple devices. A method may include receiving an indication of an onset of a gesture, from a first device, at a gesture coordinating device. Next, first subsequent data describing the gesture may be received from a second device, at the gesture coordinating device. Based on the indication and the first subsequent data, the gesture may be identified. In response to identification of the gesture, an action may be performed based on the gesture identified. In some cases, the gesture coordinating device may be a cloud-based device.
摘要翻译：所公开的主题的实现提供了基于从多个设备获得的数据来改进手势识别的技术。方法可以包括在手势协调装置处从第一装置接收手势开始的指示。接下来，可以在手势协调装置处从第二装置接收描述手势的第一后续数据。基于指示和第一后续数据，可以识别手势。响应于手势的识别，可以基于所识别的手势来执行动作。在一些情况下，手势协调设备可以是基于云的设备。

4. 发明授权

US09811311B2 Using ultrasound to improve IMU-based gesture detection 有权
公开(公告)号：US09811311B2
公开(公告)日：2017-11-07
申请号：US14230038
申请日：2014-03-31
申请人： Google Inc.
发明人： Boris Smus , Christian Plagemann , Ankit Mohan , Ryan Michael Rifkin
IPC分类号： G06F3/16 , G06F3/01 , G01S1/76 , G01S11/14
CPC分类号： G06F3/167 , G01S1/763 , G01S11/14 , G06F3/017
摘要： The present disclosure provides techniques for improving IMU-based gesture detection by a device using ultrasonic Doppler. A method may include detecting the onset of a gesture at a first device based on motion data obtained from an IMU of the first device. An indication of the detection of the onset of the gesture may be provided to a second device. Next, a first audio signal may be received from the second device. As a result, the gesture may be identified based on the motion data and the received first audio signal. In some cases, a first token encoded within the first audio signal may be decoded and the first token may be provided to a third coordinating device. A confirmation message may be received from the third coordinating device based on the first token provided and identifying the gesture may be further based on the confirmation message.

5. 发明申请

US20150261495A1 Using Ultrasound to Improve IMU-based Gesture Detection 有权
标题翻译：使用超声波改善基于IMU的手势检测
公开(公告)号：US20150261495A1
公开(公告)日：2015-09-17
申请号：US14230038
申请日：2014-03-31
申请人： Google Inc.
发明人： Boris Smus , Christian Plagemann , Ankit Mohan , Ryan Michael Rifkin
IPC分类号： G06F3/16 , G06F3/01
CPC分类号： G06F3/167 , G01S1/763 , G01S11/14 , G06F3/017
摘要： The present disclosure provides techniques for improving IMU-based gesture detection by a device using ultrasonic Doppler. A method may include detecting the onset of a gesture at a first device based on motion data obtained from an IMU of the first device. An indication of the detection of the onset of the gesture may be provided to a second device. Next, a first audio signal may be received from the second device. As a result, the gesture may be identified based on the motion data and the received first audio signal. In some cases, a first token encoded within the first audio signal may be decoded and the first token may be provided to a third coordinating device. A confirmation message may be received from the third coordinating device based on the first token provided and identifying the gesture may be further based on the confirmation message.
摘要翻译：本公开提供了一种用于通过使用超声波多普勒的装置改进基于IMU的手势检测的技术。一种方法可以包括基于从第一设备的IMU获得的运动数据来检测在第一设备处的手势的开始。可以向第二设备提供对手势开始的检测的指示。接下来，可以从第二设备接收第一音频信号。结果，可以基于运动数据和接收到的第一音频信号来识别手势。在一些情况下，可以解码在第一音频信号内编码的第一令牌，并且可以将第一令牌提供给第三协调装置。可以基于提供的第一令牌从第三协调设备接收确认消息，并且可以基于确认消息进一步识别手势。

6. 发明申请

US20140157209A1 SYSTEM AND METHOD FOR DETECTING GESTURES 审中-公开
标题翻译：用于检测手势的系统和方法
公开(公告)号：US20140157209A1
公开(公告)日：2014-06-05
申请号：US13796772
申请日：2013-03-12
申请人： Google Inc.
发明人： Navneet Dalal , Mehul Nariyawala , Ankit Mohan , Varun Gulshan
IPC分类号： G06F3/01
CPC分类号： G06F3/017 , G06F3/012 , G06F3/0482 , G06F2203/011 , G06K9/00355 , G06K9/2018 , G06K9/6807
摘要： A system and method that includes detecting an application change within a multi-application operating framework; updating an application hierarchy model for gesture-to-action responses with the detected application change; detecting a gesture; according to the hierarchy model, mapping the detected gesture to an action of an application; and triggering the action.
摘要翻译：一种包括检测多应用操作框架内的应用变化的系统和方法; 用检测到的应用改变来更新用于手势对动作响应的应用层级模型; 检测手势; 根据层次模型，将检测到的手势映射到应用的动作; 并触发动作。

7. 发明申请

US20140254864A1 SYSTEM AND METHOD FOR GESTURE DETECTION THROUGH LOCAL PRODUCT MAP 审中-公开
标题翻译：通过当地产品地图进行手势检测的系统和方法
公开(公告)号：US20140254864A1
公开(公告)日：2014-09-11
申请号：US13788900
申请日：2013-03-07
申请人： Google Inc.
发明人： Navneet Dalal , Rahul Garg , Varun Gulshan , Ankit Mohan
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00335 , G06K2009/4666
摘要： System and method for image detection that include collecting image data; at a processor, over a plurality of support regions of the image data, computing a dimensionality component of a support region of the image data, wherein the, non-nucleus pixels of a support region; calculating a normalizing factor of the dimensionality component; for at least one weighted pattern of a pattern set, applying a weighted pattern to the dimensionality component to create a gradient vector, mapping the gradient vector to a probabilistic model, and normalizing the gradient vector by the normalizing factor; condensing probabilistic models of the plurality of support regions into a probabilistic distribution feature for at least one cell of the image data; applying a classifier to at least the probabilistic distribution feature; and detecting an object in the image data according to a result of the applied classifier.
摘要翻译：包括收集图像数据的图像检测系统和方法; 在处理器处，在图像数据的多个支持区域上，计算图像数据的支持区域的维数分量，其中支持区域的非核心像素; 计算维度分量的归一化因子; 对于图案组的至少一个加权图案，将加权图案应用于所述维度分量以创建梯度向量，将所述梯度向量映射到概率模型，以及通过所述归一化因子归一化所述梯度向量; 将所述多个支持区域的概率模型缩放为所述图像数据的至少一个单元的概率分布特征; 将分类器应用于至少概率分布特征; 以及根据应用的分类器的结果检测图像数据中的对象。

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