EXERCISE BIKE AND OPERATION METHOD THEREOF
    1.
    发明申请
    EXERCISE BIKE AND OPERATION METHOD THEREOF 有权
    练习自行车及其操作方法

    公开(公告)号:US20140113768A1

    公开(公告)日:2014-04-24

    申请号:US13735044

    申请日:2013-01-07

    Abstract: An exercise bike and an operation method thereof are provided. In a test mode, a processing unit adjusts a resistance of a pedaling activity to be a plurality of pedaling resistances and measures user's physiological characteristics. The processing unit accordingly obtains a plurality of physiological values respectively corresponding to the pedaling resistances. The processing unit calculates the physiological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances and further obtain a correspondence relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance according to the correspondence relationship. In a sport mode, the recommended pedaling resistance is provided to the user for performing the pedaling activity. The exercise bike determines the recommended pedaling resistance according to the user's physiological characteristics and/or a rate of perceived exertion regarding a physical activity.

    Abstract translation: 提供了一种运动自行车及其操作方法。 在测试模式中,处理单元将踏板活动的阻力调整为多个踏力阻力并测量使用者的生理特征。 因此,处理单元获得分别对应于踏板电阻的多个生理值。 处理单元计算生理值以获得分别对应于踩踏电阻的多个运动强度,并进一步获得运动强度和踏力之间的对应关系。 在测试模式结束之后,处理单元根据对应关系确定推荐的踏板阻力。 在运动模式中,推荐的踏板阻力被提供给用户进行踏板活动。 运动自行车根据用户的生理特征和/或身体活动感觉到的运动速率来确定推荐的蹬踏阻力。

    AUTONOMOUS VEHICLE SEMANTIC MAP ESTABLISHMENT SYSTEM AND ESTABLISHMENT METHOD

    公开(公告)号:US20210191397A1

    公开(公告)日:2021-06-24

    申请号:US16726249

    申请日:2019-12-24

    Abstract: The disclosure provides an autonomous vehicle semantic map establishment system and an autonomous vehicle semantic map establishment method. The autonomous vehicle semantic map establishment system includes an image capturing module, a positioning module, a memory, and a processor. The image capturing module acquires a current road image. The positioning module acquires positioning data corresponding to the current road image. The memory stores three-dimensional (3D) map data. The 3D map data includes multiple point cloud data. The processor accesses the memory. The processor analyzes the current road image, to identify object information of a specific traffic object in the current road image. The processor marks, according to the positioning data, the object information of the specific object onto a plurality of corresponding points in the multiple point cloud data corresponding to the specific object in the 3D map data.

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