Abstract: A method for monitoring physiological status of a vehicle driver is performed by a monitoring device connected to a physiological sensor and comprises steps of: (a) establishing a personal physiological database comprising steps of: periodically sensing the vehicle driver via the physiological sensor to obtain the physiological signals within an initial duration; obtaining a mean value and a standard deviation based on the physiological signals; and obtaining a tolerance range based on the mean value and the standard deviation, such that the personal physiological database stores the tolerance range; (b) sensing the vehicle driver via the physiological sensor to obtain at least one instant physiological signal after the initial duration; and (c) determining whether the at least one instant physiological signal is out of the tolerance range, such that an alarm is outputted when the at least one instant physiological signal is out of the tolerance range.

Abstract: A physiological signal processing method for filtering noise generated by a physiological signal processing system is performed by a physiological signal processing system having a sensing device and a filtering device in connection with the sensing device. The method comprises steps of synchronously receiving a physiological signal and a vibrational signal detected by the sensing device, performing a noise determination algorithm to acquire information in multiple time periods with noises occurring in corresponding time periods according to the vibrational signal, performing a physiological signal filtering algorithm to filter the noises in corresponding time periods of the physiological signal and compensate the filtered physiological signal, and estimating a physiological parameter according to a result of the signal compensation to generate the physiological parameter with accuracy.

Abstract: A physiological signal processing method for filtering noise generated by a physiological signal processing system is performed by a physiological signal processing system having a sensing device and a filtering device in connection with the sensing device. The method comprises steps of synchronously receiving a physiological signal and a vibrational signal detected by the sensing device, performing a noise determination algorithm to acquire information in multiple time periods with noises occurring in corresponding time periods according to the vibrational signal, performing a physiological signal filtering algorithm to filter the noises in corresponding time periods of the physiological signal and compensate the filtered physiological signal, and estimating a physiological parameter according to a result of the signal compensation to generate the physiological parameter with accuracy.

Abstract: A method for monitoring physiological status of a vehicle driver is performed by a monitoring device connected to a physiological sensor and comprises steps of: (a) establishing a personal physiological database comprising steps of: periodically sensing the vehicle driver via the physiological sensor to obtain the physiological signals within an initial duration; obtaining a mean value and a standard deviation based on the physiological signals; and obtaining a tolerance range based on the mean value and the standard deviation, such that the personal physiological database stores the tolerance range; (b) sensing the vehicle driver via the physiological sensor to obtain at least one instant physiological signal after the initial duration; and (c) determining whether the at least one instant physiological signal is out of the tolerance range, such that an alarm is outputted when the at least one instant physiological signal is out of the tolerance range.

Abstract: The present invention discloses a driver's fatigue detection system and method. The system comprises a vital sign detection device generating at least one personal vital sign value; a storage device storing a linear statistic equation; a processor electrically connected with the vital sign detection device and the storage device; and a display device electrically connected with the processor. The processor receives the personal vital sign value, retrieves the linear statistic equation, substitutes the personal vital sign value into the linear statistic equation to generate a predictive vehicle deviation value, and determines whether the predictive vehicle deviation value is over a preset vehicle deviation value. If yes, the processor generates an alert signal to the display device to present an alert image. The present invention determines whether the stability of the driver is decreasing according to his physiological status and reminds the driver to avoid a traffic accident beforehand.

Abstract: The present invention discloses a driver's fatigue detection system and method. The system comprises a vital sign detection device generating at least one personal vital sign value; a storage device storing a linear statistic equation; a processor electrically connected with the vital sign detection device and the storage device; and a display device electrically connected with the processor. The processor receives the personal vital sign value, retrieves the linear statistic equation, substitutes the personal vital sign value into the linear statistic equation to generate a predictive vehicle deviation value, and determines whether the predictive vehicle deviation value is over a preset vehicle deviation value. If yes, the processor generates an alert signal to the display device to present an alert image. The present invention determines whether the stability of the driver is decreasing according to his physiological status and reminds the driver to avoid a traffic accident beforehand.

Abstract: A system and method for detecting a driver's sudden heart attack applies to detecting whether the driver of a vehicle is suffering a sudden heart attack. The method comprises steps: persistently capturing vital-sign signals of respiration rate, heart rhythm and blood pressure of the driver and transmitting the vital-sign signals to a monitoring system; a processor of the monitoring system using an artificial neural network to train the vital-sign signals and establish personalized models specific to the driver and respectively having threshold values; the monitoring system examining whether any one of the vital-sign signals exceeds its threshold value; if at least one type of the vital-sign signals exceeds the threshold value thereof, determining a risk level of the driver according to the quantity of the types of the vital-sign signals exceeding the threshold values thereof, and emitting an alert if necessary.

Abstract: The present invention provides an illumination apparatus with gradually changeable color temperatures; the apparatus includes an illumination module and a control module. The illumination module is utilized to generate an illuminating light which has a plurality of different color temperatures. The control module is utilized to control a color temperature variation of the illuminating light so that a color difference in Duv corresponding to the variation of the illuminating light is less than 0.006 under the color temperature variation. Moreover, all color rendering indices of the illuminating light corresponding to the different color temperatures are larger than 90, thereby completely simulating the variation of sun.