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    • 1. 发明授权
    • Squeezable musical toy with looping and decaying score and variable capacitance stress sensor
    • 可压缩的音乐玩具,具有循环衰减的分数和可变电容应力传感器
    • US09259658B2
    • 2016-02-16
    • US13407279
    • 2012-02-28
    • W. Daniel HillisRussel Howe
    • W. Daniel HillisRussel Howe
    • A63H3/28A63H5/00G10H1/055G10H1/26
    • A63H3/28A63H5/00G10H1/0551G10H1/26G10H2230/055
    • An enhanced toy produces repeating, decaying notes in response to applied pressure. The tone of each note is determined, based on the location at which a user applies pressure. The initial amplitude of each note is proportional to the intensity, as measured by a stress sensor. The toy periodically repeats each note, attenuating the amplitude of each successive repetition by a decay factor. The toy may alter the notes associated with each of a plurality of locations. For example, if all currently repeating notes have decayed below a predetermined threshold, the currently available set of notes may be exchanged for a new set of notes, e.g. with different tones or timbres. The stress sensors may comprise flexible capacitors within the toy. As the user applies pressure, the geometry of one or more capacitors deform, altering the measured capacitance, through which the intensity of the applied pressure is determined.
    • 增强的玩具响应于施加的压力产生重复的腐烂的笔记。 每个音符的音调基于用户施加压力的位置来确定。 每个音符的初始幅度与通过应力传感器测量的强度成比例。 玩具周期性地重复每个音符,衰减每个连续重复的振幅衰减因子。 玩具可以改变与多个位置中的每一个相关联的音符。 例如,如果所有当前重复的音符已经衰减到低于预定阈值,则可以将当前可用的音符组交换为一组新的音符,例如音符。 用不同的音调或音色。 应力传感器可以包括玩具内的柔性电容器。 当用户施加压力时,一个或多个电容器的几何形状变形,改变所测量的电容,确定所施加的压力的强度。
    • 7. 发明申请
    • TOUCH SENSOR GESTURE RECOGNITION FOR OPERATION OF MOBILE DEVICES
    • 触摸传感器识别移动设备的操作
    • US20130268900A1
    • 2013-10-10
    • US13992699
    • 2010-12-22
    • Bran FerrenDavid BealW. Daniel HillisDimitri NegroponteJames Sarrett
    • Bran FerrenDavid BealW. Daniel HillisDimitri NegroponteJames Sarrett
    • G06F3/0488
    • G06F3/04883G06F3/0416G06F3/042G06F3/044G06F3/04845G06F3/04847G06F3/0485G06F3/0488G06F3/04886G06F2203/04106
    • Touch sensor gesture recognition for operation of mobile devices. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the mobile device divides the plurality of sensor elements into multiple zones, and the mobile device interprets the gestures based at least in part on which of the zones detects the gesture. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the processor is to identify one or more dominant actions for an active application or a function of the active application and is to choose a gesture identification algorithm from a plurality of gesture recognition algorithms based at least in part on identified one or more dominant actions, and is to determine a first intended action of a user based on an interpretation of a first gesture using the chosen gesture identification algorithm. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, and a mapping between touch sensor data and actual positions of user gestures, the mapping of data being generated by an artificial neural network, where the processor utilizes the mapping at least in part to interpret the gestures.
    • 触摸传感器手势识别,用于移动设备的操作。 移动设备的实施例包括用于检测手势的触摸传感器,包括多个传感器元件的触摸传感器和处理器,所述处理器解释由触摸传感器检测到的手势,其中移动设备将多个传感器元件 并且移动设备至少部分地基于哪个区域检测到手势来解释手势。 移动设备的实施例包括用于检测手势的触摸传感器,包括多个传感器元件的触摸传感器和处理器,处理器解释由触摸传感器检测到的手势,其中处理器将识别一个或多个显性 用于主动应用的动作或活动应用的功能,并且是至少部分地基于所识别的一个或多个主导动作从多个手势识别算法中选择手势识别算法,并且是确定第一预期动作 基于使用所选择的手势识别算法对第一手势的解释的用户。 移动设备的实施例包括用于检测手势的触摸传感器,包括多个传感器元件的触摸传感器和处理器,处理器解释由触摸传感器检测到的手势以及触摸传感器数据与实际位置之间的映射 用户手势的映射,由人造神经网络生成的数据的映射,其中处理器至少部分地使用映射来解释手势。