144 results about "Blink frequency" patented technology

A system and method for landmark navigation employing optical beacons deployed at locations throughout a field of operation of a vehicle. The optical beacons emit or reflect an optical signal at a predetermined blink frequency. The locations of the optical beacons may or may not be known to the vehicle. At least one imaging device on the vehicle, such as a digital camera, captures images in the field of operation, and in particular a pair of image frames such that the time interval between the image frames of the pair is equal to one-half of the blink period of the optical signal. Data is generated that represents a difference frame between two image frames captured by the imaging device. Pixel locations of optical beacons in the difference frame are identified. The position and orientation of the vehicle is determined from data representing pixel locations of optical beacons in the difference frame.

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.

An improved eye tracker system and methods for detecting eye parameters including eye movement using a pupil center, pupil diameter (i.e., dilation), blink duration, and blink frequency, which may be used to determine a variety of physiological and psychological conditions. The eye tracker system and methods operates at a ten-fold reduction in power usage as compared to current system and methods. Furthermore, eye tracker system and methods allows for a more optimal use in variable light situations such as in the outdoors and does not require active calibration by the user.

A LED control circuit and method generate a high frequency clock signal with a fixed duty for a LED driver, to supply a switching current to drive a LED to emit light flashing at a modulated high frequency and with a fixed duty. By controlling the flashing LED light within certain flashing frequency range, the circuit and method allow a LED light source for expelling, confusing or trapping insects but serving only an illuminative or decorative purpose to human eyes, due to the difference between human beings and insects in visual perception of flashing frequencies.

The invention discloses a method of using an infrared eyeball to track and control distance of eyes and a screen and a system thereof and relates to the eyeball tracking field. The method comprises the following steps of acquiring whether a user sight point is on a target screen based on an infrared eyeball tracking method; if the user sight point is on the target screen, based on the infrared eyeball tracking method, calculating and acquiring a distance of user eyes and the target screen, and determining whether to give a corresponding prompt according to the distance. In the invention, the infrared eyeball is used to track so that the distance between the user eyes and the target screen is controlled; and whether user eyes are fatigue is determined through combining a user blinking frequency so that an effect of preventing myopic eyes is well reached.

A method and device allows to instantly determine the critical fusion frequency of a person without changing the routine viewing and lighting conditions. For a personal computer user, a window with running stripes or a blinking dot is projected onto a video monitor over an existing application. Gradual increase of the blinking frequency until the fusion of the test object is used in determining the critical fusion frequency. Provisions are made to adjust individually such parameters as a distance from the monitor, brightness, contrast, color and surrounding lighting which leads to improved vision and increased critical fusion frequency as can be verified by the same method and device once adjustment is complete. In a second embodiment, a series of dots, each blinking with an individual frequency is presented to the person to choose the one appearing non-blinking with the lowest blinking frequency thus defining the critical fusion frequency.

The invention provides an automatic screen brightness regulating method and device which are used for an intelligent terminal. The automatic screen brightness regulating method comprises the following steps: the intelligent terminal detects eye states of a user through a front camera; the eye states comprise eye opening amplitude between the upper eyelid and the lower eyelid, and eye closing and blinking frequencies; the brightness of an intelligent terminal screen is automatically regulated according to the eye states of the user; when the eye opening amplitude of the user is smaller than a preset amplitude or the blinking frequency is greater than a preset value, the brightness of the intelligent terminal screen is controlled to be lowered. According to the automatic screen brightness regulating method and device provided by the invention, the brightness of the intelligent terminal screen is automatically regulated according to the detected eye states of the user to protect the eyes of the user and prevent over-fatigue of the eyes of the user.

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.

The invention discloses a voice-operated lighting scene effect realization method. The method includes that audio information collected by an MIC microphone is taken as input information for refining and identification, real-time dynamic information of volume and music rhythm of voice data is extracted, then an LED lamp dimming signal, an LED lamp color matching signal and an LED lamp flicker frequency control signal are outputted through a microprocessor in a PWM (pulse-width modulation) waveform, and further stage scene effect control on light brightness, color and flicker frequency is realized. Art lighting scenes shown by an LED light array is more intelligent and more obvious in interactivity, and the light array can show the art effect in a larger area range.

A system and method for landmark navigation employing optical beacons deployed at locations throughout a field of operation of a vehicle. The optical beacons emit or reflect an optical signal at a predetermined blink frequency. The locations of the optical beacons may or may not be known to the vehicle. At least one imaging device on the vehicle, such as a digital camera, captures images in the field of operation, and in particular a pair of image frames such that the time interval between the image frames of the pair is equal to one-half of the blink period of the optical signal. Data is generated that represents a difference frame between two image frames captured by the imaging device. Pixel locations of optical beacons in the difference frame are identified. The position and orientation of the vehicle is determined from data representing pixel locations of optical beacons in the difference frame.

The invention discloses a head mounted fatigue detector and a method. The detector comprises an EEG (Electroencephalogram) collecting module, an EEG analysis module, a fatigue estimator, a voice broadcast module and a power supply module, wherein the EEG collecting module is used for acquiring primary EEG, the EEG analysis module is used for receiving the primary EEG in real time, and processing the primary EEG by a standard time frequency analytical algorithm to obtain characteristic parameters, including an EEG rhythm power spectrum and blinking frequency; the fatigue estimator is used for realizing the estimation on the degree of fatigue of a user in accordance with the distribution of spaces where the characteristic parameters are located, to generate a fatigue estimation result, the voice broadcast module is used for playing the fatigue estimation result to the user in real time, and the power supply module is used for providing energy to all modules. The head mounted fatigue detector provided by the invention is simple in structure, extensive in applicability and excellent in performance, and is capable of solving a fatigue detection problem, thereby having a better market prospect.

The invention discloses a fatigue driving detection method based on machine vision human eye recognition. The detection method includes the steps: capturing a human face in a captured image, and tracking and positioning human eyes in real time to obtain a human eye image; processing the human eye image; extracting eye characteristics of a human eye area-of-interest; acquiring human eye characteristics in a waking state, fusing the characteristics according to the acquired human eye height characteristics and human eye blinking frequency characteristics, and judging degree of fatigue; giving analarm for the degree of fatigue. The eye characteristics include the human eye height characteristics and the human eye blinking frequency characteristics. By extracting the eye characteristics of auser, PERCLOS in a detection cycle is calculated and then compared with set PERCLOS, different degrees of fatigue are distinguished according to comparison results, and the user is reminded of two different degrees of fatigue including slight fatigue and severe fatigue. The invention further discloses a fatigue driving detection device based on machine vision human eye recognition.

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.

The invention discloses a method for controlling virtual reality interaction according to use eye actions. The method comprises the steps that a residence time threshold value, for selecting interaction corresponding to a corresponding execution operation, of the pupils of the user eyes and the least blinking frequency, for judging and triggering the corresponding execution operation, of the user eyes within one second are set in a display system supporting virtual reality interaction; the retention time of the pupil in the interaction area corresponding to the corresponding execution operation is detected in the display system, and when the retention time reaches or exceeds the retention time threshold value, interaction corresponding to the corresponding execution operation is selected; the blinking frequency of the user eyes within one second is detected, and when the blinking frequency of the user eyes within one second reaches or exceeds the least blinking frequency within one second, content, arranged in the display system, of the corresponding execution operation is triggered. According to the method, control of the user eye actions over virtual reality interaction is achieved.

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.

An embodiment of the invention discloses a method for reminding of a breathing lamp. The method includes: receiving a priority division instruction of a user, allocating priority to a specified contact person or a specified application, and the priority including at least two levels; configuring breathing lamp flicker frequency corresponding to the priority, and the breathing lamp flicker frequency that priority of different levels correspond to is different; and when an unread message of the contact person or the application exists, controlling the breathing lamp to flicker at the corresponding flicker frequency according to the priority of the contact person or the application. The embodiment of the invention also discloses a terminal for reminding of the breathing lamp. By adoption of the method and the terminal for reminding of the breathing lamp, a reminding effect and use experience of the terminal can be improved.

The invention discloses a blinking frequency and sight line estimation method based on an eye region generation network. The method can be used for carrying out early warning on fatigue driving of a driver. Particularly, the method comprises the steps of: firstly, applying machine deep learning to extract an eye feature region of the driver, which is shot by a camera; carrying out driver eye simulation on the feature region by an ellipse fitting method; and determining a blinking frequency and pupil positions by combining perclos. The estimation method gives out the blinking frequency and a sight line direction of the driver and provides supporting bases for a driver fatigue monitoring system and driver dynamic behavior analysis.

The embodiment of the invention relates to the technical field of biological recognition and discloses a face recognition method and device. The method comprises the following steps: the face recognition device can dynamically track the eyes in a face and detect the blink frequency of the eyes during a dynamic tracking process, determining the face as a living body, namely a true face, when the blink frequency is within a preset frequency range, and determining the face is a false body, namely a false face, when the blink frequency is not within the preset frequency range. According to the embodiment of the present invention, the authenticity of the face can be accurately distinguished by the blink frequency so that the safety of the face recognition can be improved.

The invention discloses a fire alarming method based on video detection. Aiming at video images obtained by a monitoring camera in a fixed view field, the fire alarming method includes the steps of steps 1, carrying out binaryzation division on images in an Ostu method to obtain a foreground area, step 2, removing noisy points through morphological filtering, step 3, summarizing various characters like color brightness, geometrical shapes, diffusion property, irregularity and flicker frequency of the foreground area, and step 4, carrying out synthetic judgment on the computed various characters of the foreground area so as to judge whether flame exists in the video images. A large number of interference influences on binaryzation division of images can be reduced in the Ostu method. Meanwhile, aiming at the defect that a commonly-used flame detection method in the prior art is single or insufficient in judgment character, the fire alarming method extracts the various characters of the foreground area obtained in the Ostu method for synthetic judgment, therefore, quick and accurate recognition on whether the flames exists in the video images is achieved, and meanwhile error rates are reduced greatly.

The invention discloses a fatigue detecting method and a fatigue detecting system based on comprehensive video feature analysis. The method comprises the following steps: obtaining an image frame sequence of a web learner by utilizing a camera-shooting device, and carrying out eye location onto each image frame; judging an opening-closing state of eyes of the web leaner in each image frame; calculating blinking frequency of the web learner according to the judged result of the opening-closing state of the web learner in each image frame; and comparing the obtained blinking frequency of the web leaner with a blinking frequency threshold value to obtain the fatigue detected result. According to the invention, fatigue detecting accuracy and speed of the web learner can be improved, so that a teacher teaching through the network can timely know the mental state of the web learner.

The invention discloses a fatigue detection method for fixed-post personnel based on information fusion, which solves the problems of fatigue feature detection and decision-level information fusion under single-path video. Firstly, the regression tree method is used to calibrate the face of the input image to achieve high-precision face detection. Then, the feature points of eyes and mouths are detected accurately by using cascade convolutional neural network. The PERCLOS parameters, blink frequency and yawn frequency are calculated by analyzing the feature points of multi-frame images of thevideo. Then, the head pose is estimated by ASM-based local localization and facial feature triangles, and the nodding frequency is calculated. Finally, the information fusion algorithm based on roughset theory is used to realize the fatigue detection of fixed-post personnel.

The invention discloses a pair of glasses capable of monitoring blinking and a method for monitoring the blinking. The glasses comprise a glasses framework, wherein detachable eyeglass lenses are arranged on the glasses framework; the glasses framework is provided with an eyeball monitoring device which can be used for monitoring eye states, warning and reminding relevant states. The method comprises the following steps of (1) acquiring images of the eyes in real time, and calculating the blinking frequency within unit time; and (2) judging whether the blinking frequency within the unit time is lower than a preset blinking frequency, and sounding the warning if the blinking frequency within the unit time is lower than the preset blinking frequency. The glasses can monitor the blinking of the eyeballs and sound the warning to remind a user in time; and therefore, the burden on the glasses is reduced, the eye fatigue is effectively relieved; an effective protection effect on the eyesight of the youth is achieved; the glasses are simple in structure, portable, wide in application range and flexible to apply.

The present invention provides a mainboard error detection method. Said method includes the following steps: setting correspondent LED blinking frequency for different fault information of mainboard, and making the fault information and their correspondent blinking frequency be formed into a fault information list; eliminating state information of mainboard last-time computer self-detection operation; making computer self-detection and storing the state information of mainboard current-time operation; according to the result of computer self-detection defining that the fault is existed in said mainboard or not; if the fault is existed, reading said fault information and fetching LED blinking frequency correspondent to said fault information.

The invention provides a vision protection processing method and apparatus for a terminal. The method comprises the steps of obtaining a blinking frequency of a user; comparing the blinking frequency with a preset blinking frequency; when the blinking frequency is higher than the preset blinking frequency, judging that the user is in a fatigue state; when the user is judged to be in the fatigue state, sending a fatigue reminder and displaying the fatigue reminder on a terminal screen currently used by the user. Therefore, the problems of a single and complex eye protection setting mode and inconvenient use of the terminal are solved; the user can be reminded in time to use eyes reasonably; and the user experience is improved.

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.

A backlight control circuit (3) controls a blinking frequency of light emitted by a backlight (6), in accordance with brightness of a video to be displayed on a display section (7), for the purpose of reproducing, with a simpler process, a feeling of shutter which is felt when a film movie is projected by a projector, without causing a user to feel a feeling of discomfort.

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.

The invention provides a sleepy state detecting method and system. According to the sleepy state detecting method and system, standard non-sleepy blinking frequency and current blinking frequency are obtained and compared, a sleepy warning is given to a user when the current blinking frequency is smaller than the standard non-sleepy blinking frequency, and the sleepy warning is not given otherwise. Due to the fact that sleepy state detection is conducted on the user and corresponding warnings are given, serious consequences caused when the user feels sleepy are avoided to the maximum degree.

The invention provides a virtual reality (VR) interaction method and device. The method comprises: detecting an eye action of a VR user in real time; judging whether the eye action of the VR user is active blink; and if the eye action of the VR user is active blink, according to blinked eyes or / and blinking frequency, determining a corresponding VR operating instruction and performing the VR operating instruction on an VR image. According to the VR interaction method and device, no surplus controller is needed, the operability of VR interaction is effectively enhanced, and the immersion and the operation comfortableness of the VR interaction are improved.