会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 6. 发明申请
    • TOUCH FREE USER INPUT RECOGNITION
    • 无触点用户输入识别
    • US20130249793A1
    • 2013-09-26
    • US13427320
    • 2012-03-22
    • Yanning ZhuAleksey Fadeev
    • Yanning ZhuAleksey Fadeev
    • G06F3/033G06F3/01
    • G06F3/017
    • Embodiments of electronic systems, devices, and associated methods of touch free user input recognition are described. In one embodiment, a method includes detecting a plurality of spatial positions of a user's finger or an object associated with the user's finger with respect to time. The method also includes calculating a section length and a direction change for a plurality of pairs of consecutive detected spatial positions of the user's finger or the object associated with the user's finger. The method further includes determining if a temporal trajectory formed by the plurality of spatial positions of the user's finger or the object associated with the user's finger correspond to natural shakiness of the user's finger based on the calculated section lengths and direction changes.
    • 描述了电子系统,设备和相关联的无触摸用户输入识别方法的实施例。 在一个实施例中,一种方法包括相对于时间检测用户手指或与用户手指相关联的对象的多个空间位置。 该方法还包括计算用户手指或与用户手指相关联的对象的多对连续检测到的空间位置的区段长度和方向变化。 该方法还包括基于所计算的部分长度和方向改变来确定由用户手指的多个空间位置或与用户手指相关联的对象形成的时间轨迹是否对应于用户手指的自然抖动。
    • 10. 发明授权
    • Method and apparatus for motion estimation within biological tissue
    • 生物组织内运动估计的方法和装置
    • US06277074B1
    • 2001-08-21
    • US09410574
    • 1999-10-01
    • Pawan ChaturvediMichael F. InsanaTimothy J. HallYanning Zhu
    • Pawan ChaturvediMichael F. InsanaTimothy J. HallYanning Zhu
    • A61B800
    • A61B8/485A61B5/0053A61B8/0833
    • A method for motion estimation within biological tissue is disclosed. The method involves acoustically coupling a transducer to a target biological tissue, which transducer emits an ultrasonic signal and collects the energy back-scattered by the target issue. A first set of energy data is collected and stored, then target tissue is axially compressed and a second set of ultrasonic energy data is collected and stored. One of the first and second data sets is warped to account for the anticipated compression forming a warped data set. This warped data set is cross-correlated with the unwarped one of the first and said second data sets to obtain a fine scale displacement of said target biological tissue from the displacement estimated by the warping. This fine scale displacement is summed with the warped data set to obtain a total axial displacement. A gradient of the total axial displacement is taken and used to form a strain image. An apparatus for practicing this method is also disclosed.
    • 公开了一种生物组织内的运动估计方法。 该方法涉及将换能器声耦合到目标生物组织,该换能器发射超声波信号并收集由目标问题反向散射的能量。 收集并存储第一组能量数据,然后轴向压缩目标组织,收集并存储第二组超声波能量数据。 第一和第二数据集中的一个被扭曲以考虑形成翘曲数据集的预期压缩。 该扭曲数据集与第一和第二数据组中的未被预测的数据集相互关联,以便从由翘曲估计的位移中获得所述目标生物组织的精细尺度位移。 该精细比例位移与翘曲数据集相加以获得总轴向位移。 采取总轴向位移的梯度并用于形成应变图像。 还公开了一种用于实施该方法的装置。