公开(公告)号：US20160026261A1

公开(公告)日：2016-01-28

申请号：US14340455

申请日：2014-07-24

Applicant: Amazon Technologies, Inc.

Inventor： Peter Cheng ,  Steven Scott Noble ,  Matthew Paul Bell ,  Yi Ding ,  Stephen Michael Polansky ,  Alexander Li Honda

IPC: G06F3/038 ,  G06F3/0346 ,  G06K9/00 ,  G06F3/0354

CPC classification number: G06F3/0487 ,  G06F3/0346 ,  G06K9/00355

Abstract: An electronic device can be configured to enable a user to provide input via a tap of the device without the use of touch sensors (e.g., resistive, capacitive, ultrasonic or other acoustic, infrared or other optical, or piezoelectric touch technologies) and/or mechanical switches. Such a device can include other sensors, including inertial sensors (e.g., accelerometers, gyroscopes, or a combination thereof), microphones, proximity sensors, ambient light sensors, and/or cameras, among others, that can be used to capture respective sensor data. Feature values with respect to the respective sensor data can be extracted, and the feature values can be analyzed using machine learning to determine when the user has tapped on the electronic device. Detection of a single tap or multiple taps performed on the electronic device can be utilized to control the device.

Abstract translation: 电子设备可以被配置为使得用户能够通过设备的抽头来提供输入，而不需要使用触摸传感器（例如，电阻，电容，超声波或其他声学，红外或其它光学或压电触摸技术）和/或 机械开关 这样的装置可以包括其他传感器，包括惯性传感器（例如，加速度计，陀螺仪或其组合），麦克风，接近传感器，环境光传感器和/或相机等，其可用于捕获相应的传感器数据 。 可以提取关于各个传感器数据的特征值，并且可以使用机器学习来分析特征值，以确定用户何时在电子设备上点击。 可以利用在电子设备上执行的单个抽头或多个抽头的检测来控制该设备。

公开(公告)号：US10082936B1

公开(公告)日：2018-09-25

申请号：US14527460

申请日：2014-10-29

Applicant: Amazon Technologies, Inc.

Inventor： Michael Joseph Dillon ,  Steven Scott Noble ,  Paul Aksenti Savastinuk ,  Ross David Roessler

IPC: G06F3/041 ,  G06F3/0484 ,  G06F3/01 ,  G06G7/188 ,  G06F3/0488

CPC classification number: G06F3/0484 ,  G06F1/1626 ,  G06F1/1694 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/0488 ,  G06F3/04886 ,  G06N20/00

Abstract: The hand which a user is using to hold an electronic device can be determined by analyzing data captured by one or more motion sensors on the device. The curvature to the motion can be indicative of handedness, and processing motion features using a classifier algorithm can enable the determination of handedness with a corresponding confidence. In some embodiments, motion data is collected over a monitoring window, and handedness values are accepted when the handedness value remains the same with at least a minimum confidence for at least a minimum number of window periods. A determination of handedness enables an operating system and/or applications executing on the device to adjust one or more operational or interface aspects in order to make it easier for the user to operate the device using the hand currently holding the device.

公开(公告)号：US09235278B1

公开(公告)日：2016-01-12

申请号：US14340455

申请日：2014-07-24

Applicant: Amazon Technologies, Inc.

Inventor： Peter Cheng ,  Steven Scott Noble ,  Matthew Paul Bell ,  Yi Ding ,  Stephen Michael Polansky ,  Alexander Li Honda

IPC: G06F3/045 ,  G06F3/038 ,  G06F3/0354 ,  G06F3/0346 ,  G06K9/00 ,  G06F3/0487

CPC classification number: G06F3/0487 ,  G06F3/0346 ,  G06K9/00355

Abstract: An electronic device can be configured to enable a user to provide input via a tap of the device without the use of touch sensors (e.g., resistive, capacitive, ultrasonic or other acoustic, infrared or other optical, or piezoelectric touch technologies) and/or mechanical switches. Such a device can include other sensors, including inertial sensors (e.g., accelerometers, gyroscopes, or a combination thereof), microphones, proximity sensors, ambient light sensors, and/or cameras, among others, that can be used to capture respective sensor data. Feature values with respect to the respective sensor data can be extracted, and the feature values can be analyzed using machine learning to determine when the user has tapped on the electronic device. Detection of a single tap or multiple taps performed on the electronic device can be utilized to control the device.

Abstract translation: 电子设备可以被配置为使得用户能够通过设备的抽头来提供输入，而不需要使用触摸传感器（例如，电阻，电容，超声波或其他声学，红外或其它光学或压电触摸技术）和/或 机械开关 这样的装置可以包括其他传感器，包括惯性传感器（例如，加速度计，陀螺仪或其组合），麦克风，接近传感器，环境光传感器和/或相机等，其可用于捕获相应的传感器数据 。 可以提取关于各个传感器数据的特征值，并且可以使用机器学习来分析特征值，以确定用户何时利用电子设备。 可以利用在电子设备上执行的单个抽头或多个抽头的检测来控制该设备。