AllJoyn Messaging Anonymous Targets Based on Association
    26.
    发明申请
    AllJoyn Messaging Anonymous Targets Based on Association 审中-公开
    AllJoyn基于协会的消息匿名目标

    公开(公告)号:US20150312113A1

    公开(公告)日:2015-10-29

    申请号:US14638520

    申请日:2015-03-04

    Abstract: Various embodiments provide methods implemented by a requesting device and a responding device for collectively identifying one or more clusters of nearby computing devices by collaborating and sharing information. In various embodiments, the requesting device may send a distance threshold to responding devices, along with a request for grouping information about computing devices that are within the distance threshold of the responding devices. In response to receiving the request and distance threshold, each responding device may identify a number of other computing devices that are within the distance threshold and may send such information to the requesting device. The requesting device may identify one or more clusters of computing devices based on the received grouping information. By configuring responding devices to detect other computing devices within a modifiable distance threshold, the requesting device may dynamically adjust the size of identified clusters of computing devices.

    Abstract translation: 各种实施例提供了由请求设备和响应设备实现的方法,用于通过协作和共享信息来集体地识别附近的计算设备的一个或多个集群。 在各种实施例中,请求设备可以向响应的设备发送距离阈值,以及关于在响应设备的距离阈值内的关于计算设备的分组信息的请求。 响应于接收到请求和距离阈值,每个响应设备可以识别处于距离阈值内的其他计算设备的数量,并且可以将这样的信息发送到请求设备。 请求设备可以基于接收到的分组信息来识别计算设备的一个或多个集群。 通过配置响应设备来检测可修改距离阈值内的其他计算设备,请求设备可以动态地调整所识别的计算设备的群集的大小。

    Gesture-based device control using pressure-sensitive sensors
    27.
    发明授权
    Gesture-based device control using pressure-sensitive sensors 有权
    使用压敏传感器的手势设备控制

    公开(公告)号:US09170674B2

    公开(公告)日:2015-10-27

    申请号:US13827709

    申请日:2013-03-14

    Abstract: Embodiments of the present invention are directed toward controlling electronic devices based on hand gestures detected by detecting the topography of a portion of a user's body. For example, pressure data indicative of a user's bone and tissue position corresponding to a certain movement, position, and/or pose of a user's hand may be detected. An electromyographic (EMG) sensor coupled to the user's skin can also be used to determine gestures made by the user. These sensors can be coupled to a camera that can be used to capture images, based on recognized gestures, of a device. The device can then be identified and controlled.

    Abstract translation: 本发明的实施例旨在基于通过检测用户身体的一部分的形貌而检测到的手势来控制电子设备。 例如,可以检测到指示用户的骨骼和组织位置的压力数据,其对应于用户的手的特定移动,位置和/或姿态。 耦合到用户皮肤的肌电图(EMG)传感器也可用于确定用户制作的手势。 这些传感器可以耦合到可以用于基于识别的手势拍摄设备的图像的相机。 然后可以识别和控制设备。

    Use of EMG for subtle gesture recognition on surfaces
    28.
    发明授权
    Use of EMG for subtle gesture recognition on surfaces 有权
    使用EMG在表面上进行微妙的手势识别

    公开(公告)号:US09092664B2

    公开(公告)日:2015-07-28

    申请号:US13740315

    申请日:2013-01-14

    CPC classification number: G06K9/00335 G06F3/011 G06F3/015 G06F3/017

    Abstract: An apparatus, a method, and a computer program product for detecting a gesture of a body part relative to a surface are provided. The apparatus determines if the body part is in proximity of the surface. If the body part is in proximity of the surface, the apparatus determines if electrical activity sensed from the body part is indicative of contact between the body part and the surface. If the body part is in contact with the surface, the apparatus determines if motion activity sensed from the body part is indicative of the gesture.

    Abstract translation: 提供了一种用于检测身体部位相对于表面的手势的装置,方法和计算机程序产品。 该装置确定身体部分是否在表面附近。 如果身体部分在表面附近,则该装置确定从身体部位感测到的电活动是否指示身体部分和表面之间的接触。 如果身体部分与表面接触,则该装置确定从身体部位感测到的运动活动是否表示手势。

    CONTEXT-SENSITIVE GESTURE CLASSIFICATION
    30.
    发明申请
    CONTEXT-SENSITIVE GESTURE CLASSIFICATION 有权
    语境敏感性分类

    公开(公告)号:US20150078613A1

    公开(公告)日:2015-03-19

    申请号:US14026043

    申请日:2013-09-13

    Abstract: Various arrangements for recognizing a gesture are presented. User input may be received that causes a gesture classification context to be applied from a plurality of gesture classification contexts. This gesture classification context may be applied, such as to a gesture analysis engine. After applying the gesture classification context, data indicative of a gesture performed by a user may be received. The gesture may be identified in accordance with the applied gesture classification context.

    Abstract translation: 呈现用于识别手势的各种布置。 可以接收使得可以从多个手势分类上下文应用手势分类上下文的用户输入。 这种手势分类上下文可以被应用,例如到手势分析引擎。 在应用手势分类上下文之后,可以接收指示由用户执行的手势的数据。 可以根据应用的手势分类上下文来识别手势。

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