Abstract: A back cover heat dissipation structure of a laptop includes a radio frequency tag module, a back cover, and a metal foil. The radio frequency tag module includes a circuit board with a component region and an antenna region. The component region and the antenna region are disposed on a bottom side and a top side of the circuit board, respectively. The back cover includes a plating region and a receiving chamber. The receiving chamber receives the radio frequency tag module. The top side of the circuit board is attached to the bottom of the receiving chamber. The metal foil not only covers the bottom side of the circuit board but also extends to cover the plating region. Therefore, not only is heat dissipation achieved, the impedance of components on the circuit board can also be adjusted to optimize the sensing capability of the radio frequency tag module.

Abstract: A method for assessing driver fatigue is implemented by a processor and includes steps of: based on images of a driver captured by an image capturing device, obtaining an entry of physiological information that indicates a physiological state of the driver; based on one of the images of the driver, obtaining an entry of facial expression information that indicates an emotional state of the driver; based on one of the images of the driver, obtaining an entry of behavioral information that indicates driver behavior of the driver; and based on the entry of physiological information, the entry of facial expression information and the entry of behavioral information, obtaining a fatigue score that indicates a level of fatigue of the driver.

Abstract: The present invention provides a physiological information detection method for calculating a physiological value by using changes of a dynamic image. The detection method includes: acquiring detection data from a gray-scale value of the dynamic image, and transforming the detection data into frequency data. The detection method further includes: determining whether the frequency data meet a preset condition, and using a transformation model of a corresponding transformation combination accordingly to transform the frequency data into a physiological value. The present invention further provides a physiological information detection device applying the detection method.

Abstract: The present invention provides a physiological information detection method for calculating a physiological value by using changes of a dynamic image. The detection method includes: acquiring detection data from a gray-scale value of the dynamic image, and transforming the detection data into frequency data. The detection method further includes: determining whether the frequency data meet a preset condition, and using a transformation model of a corresponding transformation combination accordingly to transform the frequency data into a physiological value. The present invention further provides a physiological information detection device applying the detection method.

Abstract: A drunken driving judgment system includes an image capturing module configured to obtain multiple images associated with a subject; a physiological parameter computing module coupled to the image capturing module, and configured to generate at least one physiological parameter according to the multiple images associated with the subject, wherein the at least one physiological parameter comprises at least one of a Remote PhotoPlethysmoGraphy, a heart rate, a heart rate variability, a blood oxygen, a breath rate, and a blood pressure; and an alcohol detection calculation unit coupled to the physiological parameter computing module, and configured to generate a drunken driving judgment result according to the at least one physiological parameter to indicate whether the subject is drunken.

Abstract: A system of determining physiological state includes a physiological measuring device configured to measure at least one physiological parameter of a user, a user interface configured to receive at least one physiological information of the user, and a processing unit coupled to the physiological measuring device and the user interface, and configured to determine at least one normal threshold and at least one abnormal threshold of the at least one physiological parameter according to the at least one physiological information, and determine a physiological state of the user is normal or abnormal according to the at least one physiological parameter, the at least one normal threshold and the at least one abnormal threshold.

Abstract: A method for assessing driver fatigue is implemented by a processor and includes steps of: based on images of a driver captured by an image capturing device, obtaining an entry of physiological information that indicates a physiological state of the driver; based on one of the images of the driver, obtaining an entry of facial expression information that indicates an emotional state of the driver; based on one of the images of the driver, obtaining an entry of behavioral information that indicates driver behavior of the driver; and based on the entry of physiological information, the entry of facial expression information and the entry of behavioral information, obtaining a fatigue score that indicates a level of fatigue of the driver.