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Patent Agency Ranking
公开(公告)号：US20150363009A1
公开(公告)日：2015-12-17
申请号：US13972064
申请日：2013-08-21
Applicant: QUALCOMM Incorporated
Inventor： Ian Clarkson , Evan Hildreth
CPC classification number: G06F3/0304 , E05Y2800/106 , G06F3/017 , G06F3/0421 , G06F3/0428 , G06K9/00335 , G06T7/70 , H04N5/2256
Abstract: Object tracking technology, in which controlling an illumination source is controlled to illuminate while a camera is capturing an image to define an intersection region within the image captured by the camera. The image captured by the camera is analyzed to detect an object within the intersection region. User input is determined based on the object detected within the intersection region and an application is controlled based on the determined user input.
Abstract translation: 控制照明源的对象跟踪技术被控制为在照相机拍摄图像时照亮，以定义摄像机拍摄的图像内的相交区域。 分析由相机拍摄的图像以检测交叉区域内的对象。 基于在交叉区域内检测到的对象来确定用户输入，并且基于所确定的用户输入来控制应用程序。
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公开(公告)号：US08737693B2
公开(公告)日：2014-05-27
申请号：US14066499
申请日：2013-10-29
Applicant: QUALCOMM Incorporated
Inventor： Ian Clarkson
IPC: G06K9/00
CPC classification number: G06F3/017 , G06F3/0304 , G06K9/00355
Abstract: The enhanced detection of a waving engagement gesture, in which a shape is defined within motion data, the motion data is sampled at points that are aligned with the defined shape, and, based on the sampled motion data, positions of a moving object along the defined shape are determined over time. It is determined whether the moving object is performing a gesture based on a pattern exhibited by the determined positions, and an application is controlled if determining that the moving object is performing the gesture.
Abstract translation: 在运动数据中定义形状的波动接合手势的增强检测中，在与所定义的形状对准的点处对运动数据进行采样，并且基于采样的运动数据，沿着运动数据的运动对象的位置 随着时间的推移确定形状。 确定移动物体是否基于由所确定的位置呈现的图案来执行手势，并且如果确定移动物体正在执行手势，则控制应用。
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公开(公告)号：US20130229508A1
公开(公告)日：2013-09-05
申请号：US13767698
申请日：2013-02-14
Applicant: QUALCOMM INCORPORATED
Inventor： Ren Li , Ian Clarkson , Samir K. Gupta , Darrell L. Krulce
IPC: G06F3/01
CPC classification number: G06F3/017 , G06F1/3287 , G06F3/011 , G06F3/0304 , Y02D10/171 , Y02D50/20
Abstract: A method includes receiving a first output from a first sensor of an electronic device and receiving a second output from a second sensor of the electronic device. The first sensor has a first sensor type and the second sensor has a second sensor type that is different from the first sensor type. The method also includes detecting a gesture based on the first output and the second output according to a complementary voting scheme that is at least partially based on gesture complexity.
Abstract translation: 一种方法包括从电子设备的第一传感器接收第一输出并从电子设备的第二传感器接收第二输出。 第一传感器具有第一传感器类型，第二传感器具有与第一传感器类型不同的第二传感器类型。 该方法还包括根据至少部分基于手势复杂度的补充投票方案，基于第一输出和第二输出来检测手势。
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公开(公告)号：US09389690B2
公开(公告)日：2016-07-12
申请号：US13767698
申请日：2013-02-14
Applicant: QUALCOMM INCORPORATED
Inventor： Ren Li , Ian Clarkson , Samir K. Gupta , Darrell L. Krulce
CPC classification number: G06F3/017 , G06F1/3287 , G06F3/011 , G06F3/0304 , Y02D10/171 , Y02D50/20
Abstract: A method includes receiving a first output from a first sensor of an electronic device and receiving a second output from a second sensor of the electronic device. The first sensor has a first sensor type and the second sensor has a second sensor type that is different from the first sensor type. The method also includes detecting a gesture based on the first output and the second output according to a complementary voting scheme that is at least partially based on gesture complexity.
Abstract translation: 一种方法包括从电子设备的第一传感器接收第一输出并从电子设备的第二传感器接收第二输出。 第一传感器具有第一传感器类型，第二传感器具有与第一传感器类型不同的第二传感器类型。 该方法还包括根据至少部分基于手势复杂度的补充投票方案，基于第一输出和第二输出来检测手势。
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公开(公告)号：US09317134B2
公开(公告)日：2016-04-19
申请号：US13972064
申请日：2013-08-21
Applicant: QUALCOMM Incorporated
Inventor： Ian Clarkson , Evan Hildreth
CPC classification number: G06F3/0304 , E05Y2800/106 , G06F3/017 , G06F3/0421 , G06F3/0428 , G06K9/00335 , G06T7/70 , H04N5/2256
Abstract: Object tracking technology, in which controlling an illumination source is controlled to illuminate while a camera is capturing an image to define an intersection region within the image captured by the camera. The image captured by the camera is analyzed to detect an object within the intersection region. User input is determined based on the object detected within the intersection region and an application is controlled based on the determined user input.
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