PIXEL CIRCUIT AND DRIVING METHOD THEREOF, AND ORGANIC LIGHT EMITTING DISPLAY
    1.
    发明申请
    PIXEL CIRCUIT AND DRIVING METHOD THEREOF, AND ORGANIC LIGHT EMITTING DISPLAY 审中-公开
    像素电路及其驱动方法及有机发光显示

    公开(公告)号:US20160379553A1

    公开(公告)日:2016-12-29

    申请号:US15064279

    申请日:2016-03-08

    Abstract: Provided are pixel circuits using organic light emitting diodes (OLEDs) and a driving method thereof, and an organic light emitting display including the pixel circuits. The OLED is driven to emit light by a drive transistor generating a drive current compensated with respect to a threshold voltage difference and mobility deviation. The drive transistor may receive reference voltage and data signals in response to separate scan signals supplied to the pixel circuits via different scan lines. As a result, a threshold voltage compensation time, which may include the time during which a reference voltage is supplied to the drive transistor in response to a particular scan signal, may be set long enough regardless of a time during which the data signal is supplied to the pixel circuits located in respective rows of the organic light emitting display in response to a separate scan signal.

    Abstract translation: 提供了使用有机发光二极管(OLED)的像素电路及其驱动方法,以及包括像素电路的有机发光显示器。 OLED被驱动以通过驱动晶体管发光,其产生相对于阈值电压差和迁移率偏差补偿的驱动电流。 驱动晶体管可以响应于通过不同扫描线提供给像素电路的分离的扫描信号而接收参考电压和数据信号。 结果,可以将可能包括响应于特定扫描信号而将参考电压提供给驱动晶体管的时间的阈值电压补偿时间设置得足够长,而不管提供数据信号的时间如何 响应于单独的扫描信号而位于有机发光显示器的相应行中的像素电路。

    ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20230244913A1

    公开(公告)日:2023-08-03

    申请号:US18299355

    申请日:2023-04-12

    CPC classification number: G06N3/045 G01S13/62 G01S13/88 A61B5/4818 G06N3/09

    Abstract: An electronic apparatus is provided. The electronic apparatus includes an ultra-wideband (UWB) sensor, a memory storing at least one instruction, and a processor. The processor, by executing the at least one instruction, is configured to transmit a radar signal through the UWB sensor and receive a signal reflected by a user, acquire first information on the user's movement based on the reflected signal, acquire second information on the user's movement by performing a Fourier transform on the first information, acquire first feature information corresponding to the first information and second feature information corresponding to the second information by inputting the first information and the second information to a first neural network and a second neural network, respectively, acquire information on the user's sleep by inputting the first feature information and the second feature information into a third neural network, and provide information on the acquired sleep.

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