PHYSIOLOGICAL SIGNAL MEASURING METHOD AND SYSTEM THEREOF

    公开(公告)号:US20240164649A1

    公开(公告)日:2024-05-23

    申请号:US18324999

    申请日:2023-05-28

    CPC classification number: A61B5/01 G06V40/171 G06V2201/03

    Abstract: A physiological signal measuring method includes a training's thermal image providing step, a training step, a classification model generating step, a measurement's thermal image providing step, a mask-wearing classifying step, a block identifying step and a measurement result generating step. The measurement's thermal image providing step includes providing a measurement's thermal image, which is an infrared thermal video for measuring. The measurement result generating step includes generating a measurement result of at least one physiological parameter of the subject according to a plurality of signals of the forehead block, and the mask block or the nasal cavity block.

    TRACEABILITY MANAGEMENT METHOD FOR SUPPLY CHAINS OF AGRICULTURAL, FISHERY AND ANIMAL HUSBANDRY PRODUCTS

    公开(公告)号:US20220391822A1

    公开(公告)日:2022-12-08

    申请号:US17338190

    申请日:2021-06-03

    Inventor: Ming-jian YUAN

    Abstract: A traceability management method for supply chains of agricultural, fishery and animal husbandry products provided by the invention is provided for a user for inputting an identification data, and searching for at least one first data, second data and/or third data matching the identification data from databases, and then performing correlated recursive mathematical operation on the first data, the second data, and/or the third data to search for and establish a traceability node having connection relationship with the first data, the second data and/or the third data. Thereby, relevant historical footprints of a product in a supply chain between manufactories can be traced.

    FACIAL STROKING DETECTION METHOD AND SYSTEM THEREOF

    公开(公告)号:US20200167551A1

    公开(公告)日:2020-05-28

    申请号:US16202116

    申请日:2018-11-28

    Abstract: A facial stroking detection method includes a detecting step and a determining step. The detecting step includes a pre-processing step, a feature extracting step and a feature selecting step. In the pre-processing step, an image is captured by an image capturing device, and the image is pre-processed so as to obtain a post-processing image. In the feature extracting step, a plurality of image features are extracted from the post-processing image so as to form an image feature set. In the feature selecting step, a determining feature set is formed by selecting a part of the image features from the image feature set and entered into a classifier. In the determining step, wherein the classifier provides a determining result according to the determining feature set.

    Network multiple-input multiple-output wireless signal transmission and power control system
    5.
    发明授权
    Network multiple-input multiple-output wireless signal transmission and power control system 有权
    网络多输入多输出无线信号传输和电源控制系统

    公开(公告)号:US09077403B2

    公开(公告)日:2015-07-07

    申请号:US13899007

    申请日:2013-05-21

    CPC classification number: H04B7/0426 H04W52/34 H04W52/42

    Abstract: A network multiple-input multiple-output (MIMO) wireless signal transmission and power control system includes a plurality of adjacently arranged cells. Each cell is a regular polygon and includes a plurality of adjoining sides, a base station located at a center of the cell, a plurality of directional antennas equipped at the base station, and a power adjustment unit electrically connected to the directional antennas. The directional antennas point towards connection points of the adjoining sides, and sectorize the cell into a plurality of kite-shaped sections by regarding the directional antennas as centers. The power adjustment unit controls power output of the directional antennas. By changing pointing directions of the directional antennas, the cell can be sectorized into the kite-shaped sections to significantly increase system capacity and communication quality.

    Abstract translation: 网络多输入多输出(MIMO)无线信号传输和功率控制系统包括多个相邻布置的小区。 每个小区是正多边形,并且包括多个邻接侧,位于小区中心的基站,在基站装备的多个定向天线,以及电连接到定向天线的功率调节单元。 定向天线指向相邻侧的连接点,并且通过将定向天线作为中心来将小区划分成多个风筝形部分。 功率调整单元控制定向天线的功率输出。 通过改变定向天线的指向,小区可以划分成风筝形节,以显着提高系统容量和通信质量。

    DIFFRACTION-TYPE 3D DISPLAY ELEMENT AND METHOD FOR FABRICATING THE SAME
    6.
    发明申请
    DIFFRACTION-TYPE 3D DISPLAY ELEMENT AND METHOD FOR FABRICATING THE SAME 审中-公开
    衍射型3D显示元件及其制造方法

    公开(公告)号:US20130193106A1

    公开(公告)日:2013-08-01

    申请号:US13802008

    申请日:2013-03-13

    Abstract: A diffraction-type 3D display element is arranged on an image output face of a 3D display device and comprises a first diffraction area and a second diffraction area. The first diffraction area has a plurality of first stepped gratings spaced apart from each other. The second diffraction area has a plurality of second stepped gratings spaced apart from each other. The second diffraction area is adjacent to the first diffraction area and is arranged symmetrically to the first diffraction area with a central line being the symmetric axis. The diffraction-type 3D display element of the invention diffracts the images output by the 3D display device and projects the diffracted images to two different viewing areas to provide 3D images for users.

    Abstract translation: 衍射型3D显示元件设置在3D显示装置的图像输出面上,并且包括第一衍射区域和第二衍射区域。 第一衍射区域具有彼此间隔开的多个第一阶梯状光栅。 第二衍射区域具有彼此间隔开的多个第二阶梯状光栅。 第二衍射区域与第一衍射区域相邻,并且以与中心线为对称轴线的第一衍射区域对称地布置。 本发明的衍射型3D显示元件衍射由3D显示设备输出的图像,并将衍射图像投影到两个不同的观看区域,以为用户提供3D图像。

    MOUTH AND NOSE OCCLUDED DETECTING METHOD AND SYSTEM THEREOF

    公开(公告)号:US20200168071A1

    公开(公告)日:2020-05-28

    申请号:US16202108

    申请日:2018-11-28

    Abstract: A mouth and nose occluded detecting method includes a detecting step and a warning step. The detecting step includes a facial detecting step, an image extracting step and an occluded determining step. In the facial detecting step, an image is captured by an image capturing device, wherein a facial portion image is obtained from the image. In the image extracting step, a mouth portion is extracted from the facial portion image so as to obtain a mouth portion image. In the occluded determining step, the mouth portion image is entered into an occluding convolutional neural network so as to produce a determining result, wherein the determining result is an occluding state or a normal state. In the warning step, a warning is provided according to the determining result.

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