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144 results about "Blink frequency" patented technology

Blinks are usually involuntary but may be voluntary. The frequency of blinking is conditioned by a number of external and internal factors, e.g. glare, wind, emotion, attention, tiredness, etc. Normal blink rate is about 10 blinks per minute, although there are wide variations. The duration of a full blink is approximately 0.3-0.4 s.

Face recognition-based fatigue driving detection method

The invention discloses a face recognition-based fatigue driving detection method. The method includes the following steps that: human face video image acquisition is carried out; an integral projection algorithm is adopted to carry out eye and mouth positioning on the first frame of image, the images of a left eye portion, a right eye portion and a mouth portion are extracted; an adaptive particle filtering-based eye tracking algorithm is adopted to carry out eye tracking; an improved horizontal projection-based eye and mouth state recognition method is adopted to carry out recognition; eye and mouth fatigue information extraction is carried out, a PERCLOS value, blink frequency, eye closing time and the number of times of yawning are calculated; and fatigue judgment is performed on a driver based on the PERCLOS value, the blink frequency, the eye closing time and the number of times of yawning. According to the defects of an original horizontal projection method, an improved horizontal projection method is adopted to recognize eye and mouth states, and therefore, high recognition accuracy and high adaptability can be achieved; and the fatigue judgment algorithm can improve judgment accuracy.
Owner:防城港市港口区高创信息技术有限公司

Facial feature based driver attention state detection method

The invention relates to a facial feature based driver attention state detection method. The detection method is characterized by comprising the following steps of performing PERCLOS based driver fatigue state detection; performing blink frequency based driver fatigue state detection; performing sight line distribution based driver attention distraction state detection; and sending out early warning for driver fatigue and attention distraction state, wherein the early warning for fatigue or attention distraction state is carried out continuously for a certain time to avoid frequent switching between different states; the early warning priority is as follows: fatigue driving is greater than attention distraction that is greater than normal driving; and the attention state of the driver can be accurately detected through the physiological reaction characteristics of the driver, and early warning is sent out for driver fatigue and the attention distraction state; collection and extraction of the facial features of the driver are not included; the sampling efficiency of the adopted driver facial feature collection and extracting system is fHz; and the frequency for reading the driver facial feature is f<0> Hz.
Owner:CHINA FIRST AUTOMOBILE

Fatigue driving electroencephalographic monitoring method

The invention discloses a fatigue driving electroencephalographic monitoring method. The method includes steps: firstly, device connection and parameter initialization, to be more specific, connecting an electroencephalographic signal acquisition device to an electroencephalographic signal monitoring terminal, and setting fatigue step parameters; secondly, electroencephalographic signal acquisition, to be more specific, using the electroencephalographic signal acquisition device for acquiring and preprocessing electroencephalographic signals of a driver and synchronously transmitting the electroencephalographic signals to the electroencephalographic signal monitoring terminal; thirdly, electroencephalographic signal analytical processing, to be more specific, using the electroencephalographic signal monitoring terminal for calling an electrooculogram judgment module to analytically process the electroencephalographic signals acquired and preprocessed by the electroencephalographic signal acquisition device, namely blink frequency judgment threshold determination, electroencephalographic signal analytical processing before fatigue driving judgment and electroencephalographic signal analytical processing after starting of fatigue driving judgment. The fatigue driving electroencephalographic monitoring method has the advantages of simple procedures, reasonable design, convenience in implementation, effectiveness and simplicity, convenience, quickness and timeliness in accurate monitoring of a fatigue driving state of the driver.
Owner:XIAN UNIV OF SCI & TECH

Fatigue driving electroencephalogram monitoring method based on blink frequency identification

The invention discloses a fatigue driving electroencephalogram monitoring method based on blink frequency identification. The fatigue driving electroencephalogram monitoring method includes the steps that 1, brain wave signals are collected, wherein brain wave signals of a driver are collected, preprocessed and synchronously transmitted to a brain wave signal monitoring device; 2, the brain wave signals are analyzed and processed, the brain wave signals received in all analysis processing cycles are analyzed and processed according to the preset analysis processing frequency and the time sequence, and analysis processing includes the following steps that the brain wave signals received in the previous n analysis processing cycles are analyzed and processed, the blink judgment threshold is determined, statistics is conducted on the blink times of the driver in the precious n analysis processing cycles, the brain wave signals received in the n+1th analysis processing cycle are analyzed and processed, and the brain wave signals received in the next analysis processing cycle are analyzed and processed. The fatigue driving electroencephalogram monitoring method is simple in step, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.
Owner:XIAN UNIV OF SCI & TECH

Wearable electronic instrument, human health monitoring system comprising same and human health monitoring method

The invention discloses a wearable electronic instrument, a human health monitoring system comprising the wearable electronic instrument and a human health monitoring method. The wearable electronic instrument comprises a first sensor, a second sensor, a third sensor, a first camera unit, a wireless unit and a micro-control unit, wherein the first sensor is used for detecting the data including the heart rate and the blood pressure of a user in real time; the second sensor is used for detecting the respiratory rate of the user in real time; the third sensor is used for detecting the body temperature data of the user in real time; the first camera unit is used for capturing and counting the blinking frequency of the user in each minute by matching with the micro-control unit; the wireless unit is used for carrying out wireless connection with a portable terminal or a PC terminal; the micro-control unit is used for carrying out analysis and processing on the physiological data acquired by the first sensor, the second sensor and the third sensor, and the data calculated by the first camera unit, and transmitting the data to the portable terminal or the PC terminal through the wireless unit. With the wearable electronic instrument, the human health monitoring system, and the human health monitoring method, a wearer can comprehensively monitor and manage the health state of the wearer.
Owner:PHICOMM (SHANGHAI) CO LTD

Method for building three-dimensional virtual eye motion model with rich emotional expression capability

The invention provides a method for building a three-dimensional virtual eye motion model with a rich emotional expression capability, which relates to the technical field of man-computer interaction, human facial animation, emotional synthesizing and expressing and the like. The eye motion plays an important role in the non-linguistic communication and emotional expression of virtual human in the fields, so that a vivid three-dimensional eye motion model is built. The virtual eye motion model is structured by two parts: a first part is an eye motion model in neutral emotion (no emotional change), and a second part is an eye motion model under emotional changes. Moreover, the eye motion involves eyeball motion and blepharal motion, and a detailed formula is provided for describing eye motion parameters such as eye scanning width and blinking frequency. The vivid eye model can be structured according to the eye motion description, and accordingly, the vivid appearance and expression capability of the virtual human can be well enhanced.
Owner:UNIV OF SCI & TECH OF CHINA
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