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1.发明申请公开(公告)号：US20150363639A1
公开(公告)日：2015-12-17
申请号：US14301410
申请日：2014-06-11
Inventor： Ganymed Stanek , Philippe Morin , Luca Rigazio
CPC classification number: G06K9/00375 , B60K35/00 , B60K37/06 , B60K2350/1052 , B60K2350/2013 , G06F3/017 , G06F3/0346 , G06F3/042 , G06F2200/1636 , G06K9/00201 , G06K9/00335 , G06K9/00355 , G06K9/00832 , G06K9/2018
Abstract: A non-contact gesture sensor is mounted within a vehicle for vehicle occupants to enter control commands by using hand gestures. The effects of vehicle motion and vibration are stabilized by an electronic circuit that includes an inertial motion sensor (IMU) in rigidly fixed relation to the gesture sensor. An adaptive filter processes the gesture sensor signal and the IMU sensor signal by modeling the arm and hand as a semi-rigid articulated body using a transfer function that relates accelerations measured by the IMU with vehicle motion-induced accelerations of the hand. The filter calculates a noise-reduced gesture signal by subtracting out the motion-induced accelerations and measurement noise. The filter also outputs a confidence measure that controls a threshold circuit that inhibits use of the filtered gesture signal when confidence in the filter's system estimation is low.
Abstract translation: 非接触姿势传感器安装在车辆内，用于车辆乘客通过使用手势输入控制命令。 车辆运动和振动的影响由包括与手势传感器刚性固定关系的惯性运动传感器（IMU）的电子电路稳定。 自适应滤波器通过使用将由IMU测量的加速度与车辆运动引起的手的加速度相关联的传递函数对手臂和手进行建模作为半刚性铰接体来处理手势传感器信号和IMU传感器信号。 滤波器通过减去运动引起的加速度和测量噪声来计算噪声减小的手势信号。 当滤波器的系统估计的置信度低时，滤波器还输出控制阈值电路的置信度测量，该阈值电路阻止使用滤波后的手势信号。
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2.发明授权3D gesture stabilization for robust input control in mobile environments 有权3D手势稳定，用于在移动环境中进行强大的输入控制公开(公告)号：US09330306B2
公开(公告)日：2016-05-03
申请号：US14301410
申请日：2014-06-11
Inventor： Ganymed Stanek , Philippe Morin , Luca Rigazio
CPC classification number: G06K9/00375 , B60K35/00 , B60K37/06 , B60K2350/1052 , B60K2350/2013 , G06F3/017 , G06F3/0346 , G06F3/042 , G06F2200/1636 , G06K9/00201 , G06K9/00335 , G06K9/00355 , G06K9/00832 , G06K9/2018
Abstract: A non-contact gesture sensor is mounted within a vehicle for vehicle occupants to enter control commands by using hand gestures. The effects of vehicle motion and vibration are stabilized by an electronic circuit that includes an inertial motion sensor (IMU) in rigidly fixed relation to the gesture sensor. An adaptive filter processes the gesture sensor signal and the IMU sensor signal by modeling the arm and hand as a semi-rigid articulated body using a transfer function that relates accelerations measured by the IMU with vehicle motion-induced accelerations of the hand. The filter calculates a noise-reduced gesture signal by subtracting out the motion-induced accelerations and measurement noise. The filter also outputs a confidence measure that controls a threshold circuit that inhibits use of the filtered gesture signal when confidence in the filter's system estimation is low.
Abstract translation: 非接触姿势传感器安装在车辆内，用于车辆乘客通过使用手势输入控制命令。 车辆运动和振动的影响由包括与手势传感器刚性固定关系的惯性运动传感器（IMU）的电子电路稳定。 自适应滤波器通过使用将由IMU测量的加速度与车辆运动引起的手的加速度相关联的传递函数对手臂和手进行建模作为半刚性铰接体来处理手势传感器信号和IMU传感器信号。 滤波器通过减去运动引起的加速度和测量噪声来计算噪声减小的手势信号。 当滤波器的系统估计的置信度低时，滤波器还输出控制阈值电路的置信度测量，该阈值电路阻止使用滤波后的手势信号。
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