Glasses for acquiring fatigue driving physiological signal transmitted via Bluetooth

Abstract

The invention discloses a pair of glasses for acquiring a fatigue driving physiological signal transmitted via Bluetooth. The pair of glasses is provided with a sensor group and a Bluetooth transmitter module; the sensor group includes a nose myoelectricity sensor which is used for detecting eye blinking frequency of a driver, and a head electrocerebral sensor which is used for detecting the brain wave frequency of the driver; outputs of the nose myoelectricity sensor and the head electrocerebral sensor is connected with the input of the Bluetooth transmitter module, respecitively, and the data detected by the sensor group is output by the Bluetooth transmitter module. The pair of glasses not only solves the locating and wearing problems, but also due to the adoption of the nose myoelectricity sensor and the head electrocerebral sensor to collect the physiological signal, has the advantages of small date volume, directness, comprehensiveness, no complex process and no individual privacy exposure. The pair of glasses can accurately detect the fatigue driving physiological signal of the driver and help relevant authority judge the fatigue drive degree of the driver accurately and promptly and plays a significant role in decreasing traffic accidents.

Description

technical field [0001] The invention relates to glasses, in particular to glasses for collecting physiological signals of fatigue driving through bluetooth transmission. Background technique [0002] At present, the instruments used in the prior art to prevent driver fatigue driving are mainly divided into the following two categories: [0003] One type is a car-centered fatigue driving detection instrument represented by an automobile manufacturer. It indirectly judges driving conditions by detecting the driving conditions of the car, such as whether it takes a "serpentine" route, whether it is fast or slow, etc. staff fatigue. Apparently, there are many uncertainties in the driver fatigue detection instrument and its judgment method, and the accuracy is relatively low. [0004] The other is a driver-centered fatigue driving detection instrument, which mainly includes the following two types: one is to use a camera (or other instruments) to collect the driver’s facial ima...

AI Technical Summary

Problems solved by technology

[0005] 1. The problem of human head positioning: In a moving car, more than two cameras and a high-performance computer are generally required to complete the collection of facial image information, which makes the operation complicated and difficult for the driver to complete. In addition, the price is also low. higher

Therefore, what you see so far is a single camera, and it is actually more difficult for a single camera to complete head positioning

[0006] 2. The collection of facial image information: users are not required to wear sunglasses, because sunglasses (especially polarizers worn by drivers) can filter out most infrared rays, ultraviolet rays and reflect visible light

In addition, the use of facial image information to collect physiological signals still has the disadvantages of large data volume and complex processing.

Therefore, the acquisition of facial image information is greatly limited in practical applications

[0007] 3. Personal privacy issues: the use of cameras to collect facial image information of drivers may cause some of the driver's privacy to be exposed

[0008] 4. Brain wave detection: The driver needs to wear a fastening headgear similar to a swimming cap. There are many electrodes inside the headgear, and it is very uncomfortable to wear for a long time, and the data processing is also very complicated, so it is difficult to use in ordinary cars.

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