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    • 7. 发明授权
    • Context-based smartphone sensor logic
    • 基于上下文的智能手机传感器逻辑
    • US09196028B2
    • 2015-11-24
    • US13607095
    • 2012-09-07
    • Tony F. RodriguezYang Bai
    • Tony F. RodriguezYang Bai
    • G10L19/00G10L15/22G06T7/00
    • G10L15/285G06K9/00006G06K9/00013G06K9/00228G06K9/00892G06K9/6267G06T7/00G10L15/08G10L15/20G10L15/22G10L19/00G10L2015/226H04M1/72569H04M2250/12
    • Methods employ sensors in portable devices (e.g., smartphones) both to sense content information (e.g., audio and imagery) and context information. Device processing is desirably dependent on both. For example, some embodiments activate certain processor intensive operations (e.g., content recognition) based on classification of sensed content and context. The context can control the location where information produced from such operations is stored, or control an alert signal indicating, e.g., that sensed speech is being transcribed. Some arrangements post sensor data collected by one device to a cloud repository, for access and processing by other devices. Multiple devices can collaborate in collecting and processing data, to exploit advantages each may have (e.g., in location, processing ability, social network resources, etc.). A great many other features and arrangements are also detailed.
    • 方法在便携式设备(例如,智能电话)中使用传感器来感测内容信息(例如,音频和图像)和上下文信息。 设备处理期望地依赖于两者。 例如,一些实施例基于感测的内容和上下文的分类来激活某些处理器密集型操作(例如,内容识别)。 上下文可以控制存储从这些操作产生的信息的位置,或者控制指示例如感测到的语音被转录的警报信号。 一些安排将由一个设备收集的传感器数据发送到云库,供其他设备访问和处理。 多个设备可以协作收集和处理数据,以利用每个可能具有的优点(例如,在位置,处理能力,社交网络资源等)。 还有很多其他功能和安排也很详细。
    • 9. 发明申请
    • CONTEXT-BASED SMARTPHONE SENSOR LOGIC
    • 基于语音的智能传感器逻辑
    • US20130150117A1
    • 2013-06-13
    • US13607095
    • 2012-09-07
    • Tony F. RodriguezYang Bai
    • Tony F. RodriguezYang Bai
    • G06T7/00G10L19/00
    • G10L15/285G06K9/00006G06K9/00013G06K9/00228G06K9/00892G06K9/6267G06T7/00G10L15/08G10L15/20G10L15/22G10L19/00G10L2015/226H04M1/72569H04M2250/12
    • Methods employ sensors in portable devices (e.g., smartphones) both to sense content information (e.g., audio and imagery) and context information. Device processing is desirably dependent on both. For example, some embodiments activate certain processor intensive operations (e.g., content recognition) based on classification of sensed content and context. The context can control the location where information produced from such operations is stored, or control an alert signal indicating, e.g., that sensed speech is being transcribed. Some arrangements post sensor data collected by one device to a cloud repository, for access and processing by other devices. Multiple devices can collaborate in collecting and processing data, to exploit advantages each may have (e.g., in location, processing ability, social network resources, etc.). A great many other features and arrangements are also detailed.
    • 方法在便携式设备(例如,智能电话)中使用传感器来感测内容信息(例如,音频和图像)和上下文信息。 设备处理期望地依赖于两者。 例如,一些实施例基于感测的内容和上下文的分类来激活某些处理器密集型操作(例如,内容识别)。 上下文可以控制存储从这些操作产生的信息的位置,或者控制指示例如感测到的语音被转录的警报信号。 一些安排将由一个设备收集的传感器数据发送到云库,供其他设备访问和处理。 多个设备可以协作收集和处理数据,以利用每个可能具有的优点(例如,在位置,处理能力,社交网络资源等)。 还有很多其他功能和安排也很详细。