Driver drowsiness prediction system and method thereof
First Claim
1. A driver drowsiness prediction system, adapted to be detectable on conscious statuses of a driver and alarmable if the driver is near unconsciousness, the system comprising:
- a vital signal detection unit, detecting a plurality of the driver'"'"'s vital signals;
a control unit, receiving the vital signals and storing at least a feature signal therein, the feature signal representing a vital signal pattern when the driver is near unconsciousness, wherein the control unit continuously compares the vital signals detected by the vital signal detection unit with the feature signal, and the control unit issues an pre-alarming command when the vital signal is identical or similar to the feature signal;
at least an awakening module, to perform an awakening operation to awaken the driver in response to the pre-alarming command, and to wait for an awakening response provided by the driver for a period to determine an action according to the awakening response;
a network bridge module, after receiving the pre-alarming command, the network bridge module performing a network linking operation and controlling a client module to log in a pre-determined social website according to a login script and then sending a pre-alarming message thereon, wherein the pre-alarming message comprises an event indicating the driver is near unconsciousness; and
a positioning module,wherein the driver drowsiness prediction system is provided within a vehicle of the driver,wherein a person other than the driver, who is remote from the vehicle, is informed of the event via the pre-determined social website, andwherein the positioning module receives a plurality of positioning signals transmitted from a plurality of positioning signal sources and transforms into at least a positioning coordinate, according to the positioning coordinate, the network bridge module indicating a geographic position of the driver in map information and attaching within the pre-alarming message accordingly.
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Accused Products
Abstract
A driver drowsiness prediction system includes a vital signal detection unit, a control unit and a network bridge module. The vital signal detection unit detects vital signals of a driver. The control unit receives the driver'"'"'s vital signs, and stores at least a feature signal. The feature signal represents the vital signal pattern of losing consciousness. The control unit continuously compares the detected vital signal with the feature signal. When the vital signal is similar to the feature signal, the control unit issues a pre-alarming command. The network bridge module receives the pre-alarming command and is triggered to perform a network connection process. The network bridge module logs into a pre-determined social website according to a login script, and then sends a pre-alarming message thereon, wherein the pre-alarming message includes an event indicating the driver is near unconsciousness.
11 Citations
26 Claims
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1. A driver drowsiness prediction system, adapted to be detectable on conscious statuses of a driver and alarmable if the driver is near unconsciousness, the system comprising:
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a vital signal detection unit, detecting a plurality of the driver'"'"'s vital signals; a control unit, receiving the vital signals and storing at least a feature signal therein, the feature signal representing a vital signal pattern when the driver is near unconsciousness, wherein the control unit continuously compares the vital signals detected by the vital signal detection unit with the feature signal, and the control unit issues an pre-alarming command when the vital signal is identical or similar to the feature signal; at least an awakening module, to perform an awakening operation to awaken the driver in response to the pre-alarming command, and to wait for an awakening response provided by the driver for a period to determine an action according to the awakening response; a network bridge module, after receiving the pre-alarming command, the network bridge module performing a network linking operation and controlling a client module to log in a pre-determined social website according to a login script and then sending a pre-alarming message thereon, wherein the pre-alarming message comprises an event indicating the driver is near unconsciousness; and a positioning module, wherein the driver drowsiness prediction system is provided within a vehicle of the driver, wherein a person other than the driver, who is remote from the vehicle, is informed of the event via the pre-determined social website, and wherein the positioning module receives a plurality of positioning signals transmitted from a plurality of positioning signal sources and transforms into at least a positioning coordinate, according to the positioning coordinate, the network bridge module indicating a geographic position of the driver in map information and attaching within the pre-alarming message accordingly. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 21, 22, 23)
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12. A driver drowsiness prediction method, adapted to be detectable on conscious statuses of a driver and alarmable if the driver is near unconsciousness, the method comprising:
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providing a driver drowsiness prediction system within a vehicle of the driver; receiving a plurality of the driver'"'"'s vital signals; analyzing the vital signals; determining whether the driver is near unconsciousness; when the driver is near unconsciousness, performing an awakening operation to awaken the driver and waiting for an awakening response provided by the driver for a period to determine an action according to the awakening response; performing a network linking operation using a network bridge module of the driver drowsiness prediction system, logging in a pre-determined social website according to a login script by controlling a client module and then sending a pre-alarming message thereon, wherein the pre-alarming message comprises an event indicating the driver is near unconsciousness; informing a person other than the driver, who is remote from the vehicle, of the event via the pre-determined social website; obtaining a least a positioning coordinate; and according to the positioning coordinate, indicating a geographic position of the driver in map information and attaching within the pre-alarming message accordingly. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 24, 25, 26)
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Specification