RADAR WAVE SENSING APPARATUS AND METHOD
    1.
    发明申请
    RADAR WAVE SENSING APPARATUS AND METHOD 有权
    雷达波感测装置及方法

    公开(公告)号:US20130147653A1

    公开(公告)日:2013-06-13

    申请号:US13491813

    申请日:2012-06-08

    CPC classification number: G01S13/0209 G01S13/58

    Abstract: A radar wave sensing apparatus including a rotation element, a nanosecond pulse near-field sensor and a control unit is provided. The nanosecond pulse near-field sensor emits an incident radar wave and receives a reflection radar wave of the incident radar wave hitting on a surface of the rotation element to obtain a repetition frequency variation of the reflection radar wave corresponding to the incident radar wave. The control unit calculates a vibration of the rotation element according to the repetition frequency variation.

    Abstract translation: 提供一种包括旋转元件,纳秒脉冲近场传感器和控制单元的雷达波感测装置。 纳秒脉冲近场传感器发射入射雷达波,并接收入射雷达波在旋转元件表面上的反射雷达波,以获得对应于入射雷达波的反射雷达波的重复频率变化。 控制单元根据重复频率变化计算旋转元件的振动。

    Radar wave sensing apparatus and method
    2.
    发明授权
    Radar wave sensing apparatus and method 有权
    雷达波感测装置及方法

    公开(公告)号:US08830116B2

    公开(公告)日:2014-09-09

    申请号:US13491813

    申请日:2012-06-08

    CPC classification number: G01S13/0209 G01S13/58

    Abstract: A radar wave sensing apparatus including a rotation element, a nanosecond pulse near-field sensor and a control unit is provided. The nanosecond pulse near-field sensor emits an incident radar wave and receives a reflection radar wave of the incident radar wave hitting on a surface of the rotation element to obtain a repetition frequency variation of the reflection radar wave corresponding to the incident radar wave. The control unit calculates a vibration of the rotation element according to the repetition frequency variation.

    Abstract translation: 提供一种包括旋转元件,纳秒脉冲近场传感器和控制单元的雷达波感测装置。 纳秒脉冲近场传感器发射入射雷达波,并接收入射雷达波在旋转元件表面上的反射雷达波,以获得对应于入射雷达波的反射雷达波的重复频率变化。 控制单元根据重复频率变化计算旋转元件的振动。

    Predictive drowsiness alarm method
    4.
    发明授权
    Predictive drowsiness alarm method 有权
    预测性睡意报警方法

    公开(公告)号:US09033892B2

    公开(公告)日:2015-05-19

    申请号:US13245205

    申请日:2011-09-26

    CPC classification number: A61B5/024 A61B5/02405 A61B5/18 G08B21/06 G08B31/00

    Abstract: A method for predicting drowsiness is disclosed. By obtaining average heart beat rate values of a driver, and according to the characteristics of the heart beat rate values over a period of time, the method is utilized to determine whether the human being is going to sleep. The method comprises the following steps: detecting a heart beat rate of a driver; calculating a curve of the heart beat rate average during a time interval of X minutes; determining an accumulated length of duration during which the calculated linear regression slope values are smaller than the predetermined slope value Z; determining whether the accumulated length of duration is greater than a time threshold T to generate a drowsiness detecting result; and determining whether to raise an alarm based on the drowsiness detecting result.

    Abstract translation: 公开了一种预测困倦的方法。 通过获得驾驶员的平均心跳速率值,并且根据一段时间内的心跳率值的特性,利用该方法来确定人是否要睡觉。 该方法包括以下步骤:检测驾驶员的心跳速率; 在X分钟的时间间隔内计算心跳速率平均曲线; 确定计算的线性回归斜率值小于预定斜率值Z的持续时间的累积长度; 确定持续时间的累积长度是否大于时间阈值T以产生嗜睡检测结果; 以及基于睡意检测结果确定是否发出报警。

    PREDICTIVE DROWSINESS ALARM METHOD
    5.
    发明申请
    PREDICTIVE DROWSINESS ALARM METHOD 有权
    预测性干扰报警方法

    公开(公告)号:US20120296226A1

    公开(公告)日:2012-11-22

    申请号:US13245205

    申请日:2011-09-26

    CPC classification number: A61B5/024 A61B5/02405 A61B5/18 G08B21/06 G08B31/00

    Abstract: A method for predicting drowsiness is disclosed. By obtaining average heart beat rate values of a driver, and according to the characteristics of the heart beat rate values over a period of time, the method is utilized to determine whether the human being is going to sleep. The method comprises the following steps: detecting a heart beat rate of a driver; calculating a curve of the heart beat rate average during a time interval of X minutes; determining an accumulated period of time during which the slope values of the linear regression equations are smaller than the predetermined slope value Z; determining whether the length of the accumulated period of time is greater than a time threshold T to generate a drowsiness detecting result; and determining whether to raise an alarm based on the drowsiness detecting result.

    Abstract translation: 公开了一种预测困倦的方法。 通过获得驾驶员的平均心跳速率值,并且根据一段时间内的心跳率值的特性,利用该方法来确定人是否要睡觉。 该方法包括以下步骤:检测驾驶员的心跳速率; 在X分钟的时间间隔内计算心跳速率平均曲线; 确定线性回归方程的斜率值小于预定斜率值Z的累积时间段; 确定所述累积时间段的长度是否大于时间阈值T以产生嗜睡检测结果; 以及基于睡意检测结果确定是否发出报警。

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