81 results about "Eye blinking" patented technology

The method, system, and computer-readable medium facilitates monitoring a vehicle operator, the environment ahead of the vehicle, and / or forces acting on the vehicle during the course of vehicle operation to determine whether the vehicle operator is impaired (e.g., distracted, drowsy, intoxicated), alerting the vehicle operator when impairment is detected, and log data relating to vehicle operator impairment for further analysis. The method, system, and computer-readable medium may monitor the vehicle operator, the environment ahead of the vehicle, and / or forces acting on the vehicle using either or both of optical sensors or accelerometers. In particular, one optical sensor may monitor the vehicle operator to detect eye blinks, head nods, head rotations, and / or gaze fixation. Another optical sensor may monitor the road ahead of the vehicle to detect lane deviation, lane centering, and time to collision. The accelerometers may detect acceleration in the direction of vehicle travel and / or lateral acceleration.

Eye detection is used as the basis for providing power management or other variations of operational parameters of a controlled device. The system includes an imager and eye detection processing which cooperate to detect light received from a person's eye. The eye detection processing generates an output that can be used for determinations regarding presence of one or more persons or presence of a specific person. This output is used as the basis for switching the controlled device between at least two power consumption states. Eye detection may also be used to allow a person to actively adjust operational conditions of the controlled device, since unnatural eye blinking patterns may be associated with particular commands.

Methods and devices measure eye blinks and tear film lipid and aqueous layer thickness before and following ophthalmic formula application onto the ocular surface, especially wherein the ophthalmic formula is an artificial tear. The methods and devices are suitable for dry eye diagnosis. The methods and devices are suitable for use to evaluate ophthalmic formula effects on the tear film and to use such information to diagnose ophthalmic formula treatment of ocular disease conditions such as dry eye in the absence of contact lens wear or post-surgical eye drop treatment and diagnosis. The methods and devices are also suitable for use in the optimization of ophthalmic drug dosage forms and sustained drug release.

Methods and devices measure eye blinks and tear film lipid and aqueous layer thickness before and following ophthalmic formula application onto the ocular surface, especially wherein the ophthalmic formula is an artificial tear. The methods and devices are suitable for dry eye diagnosis. The methods and devices are suitable for use to evaluate ophthalmic formula effects on the tear film and to use such information to diagnose ophthalmic formula treatment of ocular disease conditions such as dry eye in the absence of contact lens wear or post-surgical eye drop treatment and diagnosis. The methods and devices are also suitable for use in the optimization of ophthalmic drug dosage forms and sustained drug release.

The invention provides a deep-learning-based driver's fatigue detection method, comprising: obtaining the images of a driver in different states as sample images; training the neural network with deep-learning-based to obtain a trained driver state recognizing model; acquiring the video images of the driver; employing a face detection algorithm to obtain the face area from each frame of the video images; utilizing the recognizing model for the state of the well-trained driver to recognize the face area from each frame of the video images and obtaining the state of the driver in each frame of the video images; and based on the state of the driver in the continuous frames of the video images and through eye blinking analysis, yawning analysis and comprehensive analysis, determining whether the driver is fatigued or not and outputting the detection result. Compared with the prior art, the method and apparatus are capable of accurately detecting whether a driver is fatigued or not.

A method and device for administering material to an eye during an eye-open interval. The device includes, an electronically controllable fluid delivery element and a detector in communication with the electronically controllable fluid delivery element. The detector is capable of discerning at least a portion of an eye-blink event and producing a signal actionable on the electronically controllable fluid delivery element.

The invention discloses a fatigue driving detection method based on Kinect and face recognition; the method comprises the following steps: step one, shooting a video by a Kinect camera, implementing face recognition tracing analysis, so as to obtain a 3D mask of a user face; step two, extracting 121 characteristic points of face on the 3D mask obtained by the Kinect face recognition; extracting and recording characteristic points of the eye image area and the mouth image area from the face characteristic points; step three, marking the eye area in the recognized face image, and extracting the eye area to a new drawing board, and implementing graying process and binaryzation process to the eye image; step four, introducing criterions for judging fatigue driving, i.e., rate of change about eye blinking frequency and detection of eye closing time, and detection about yawning. The fatigue driving detection method based on Kinect and face recognition has a certain scientific research value and a use for reference about the development of fatigue driving monitoring method based on video which is still at the initial stage in our country at present; and the fatigue driving detection method based on Kinect and face recognition has a promoting significance about the research project of fatigue driving.

An eye covering such as a contact lens may comprise one or more structures to pump tear liquid under the covering such that the covering can remain in the eye and correct vision for an extended amount of time. In many embodiments, the covering comprises a material having fenestrations to draw tear liquid under the covering and an outer portion shaped to contact the conjunctiva over the sclera, such that when the eye closes pressure of one or more eyelids urges tear liquid through one or more fenestrations and under the outer portion shaped to contact the conjunctiva. When the eye blinks, the pressure of the one or more eyelids can urge the covering toward the cornea such that tear liquid can pass through the fenestrations.

A real-time multi-channel automatic eye blink artifact eliminator includes a receiving unit for receiving independent component data; a temporary storage unit for saving pieces of the independent component data to form a data segment; a detection unit for detecting an eye blink artifact in the data segment through a sample entropy algorithm to generate a sample entropy value corresponding to the data segment; and a processing unit for determining whether the data segment contains the eye blink artifact according to the sample entropy value to generate an output result, eliminating the eye blink artifact according to the output result and outputting processed independent component data. The receiving unit continuously receives a next piece of the independent component data and the temporary storage unit discards the oldest one and adds a new one to form a new data segment, thereby continuously performing the eye blink artifact elimination to each data segment.

The invention discloses a fatigue driving detection method and system based on an AdaBoost algorithm. The method comprises steps that firstly, for a weight distribution distortion phenomenon of a traditional AdaBoost algorithm, an improved algorithm based on weight distribution adjustment is proposed; secondly, the improved AdaBoost algorithm is utilized to respectively detect face, eye opening and mouth opening states and calculate eye blink frequency and yawn frequency; and lastly, a fatigue index is calculated, a state of a driver is determined according to the fatigue index, the state includes three levels including a sober level, a mild fatigue level and a fatigue level, and corresponding measures can be adopted. The algorithm is advantaged in that the algorithm is simple and easy, use environment requirements are low, strong robustness is realized, detection precision is high, and the algorithm can be applied to fatigue driving detection in intelligent driving occasions.

The invention discloses an anti-fatigue control method of a head-mounted display device and the head-mounted display device. The anti-fatigue control method of the head-mounted display device comprises the following steps that eye images are collected, and the eye fatigue state of a user is determined according to the eye images; according to the eye fatigue state of the user, the eye fatigue level of the user is judged; according to the eye fatigue level, corresponding eye fatigue treatment is conducted. In the anti-fatigue control method of the head-mounted display device, alarming is conducted or massage control is executed by analyzing and judging the eye fatigue state of the user, and dizziness, the damage to eyesight and other problems easily caused by long-term use can be effectively prevented. The eye characteristic information generated when the user initially wears the head-mounted display device is collected as normal data, so that the problem that the eye blink frequency and the eye blink duration vary with each individual is solved; each person has his / her own standard, so that the fatigue state is more reasonably judged.

By grading preview images of original images for the purpose of filtering eye blink patterns off and / or introducing face smile patterns, a result image can be generated with least eye blink patterns and most face smile patterns for satisfying image quality.

An assistive device for aiding vision correction and rehabilitation is disclosed, which comprises a body, and a vision accommodation aiding element formed with the body. The assistive device is formed as a biofeedback corrective contact lens that can modify the curvature of the cornea to aid correcting vision accommodation. The assistive device can be used in combination eye blinking effects to modify the length of the eye axis. Vision correction and biofeedback accommodation can be therefore achieved.

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.

The present invention relates to a system for monitoring a dopaminergic activity of a subject, wherein the system comprises a detection unit for detecting an eye blink signal relating to eye blinks of the subject; an analysis unit for determining, based on the detected eye blink signal, an eye blink feature indicative of the dopaminergic activity of the subject and for comparing the eye blink feature with a reference eye blink feature; and a feedback unit for providing feedback relating to the dopaminergic activity of the subject based on the comparison of the eye blink feature and the reference eye blink feature. Further aspects of the present invention relate to a corresponding method and computer program. The approach permits early screening of a dopaminergic activity and continuous monitoring of the patient's response to dopamine drugs, for example.

The invention provides a pair of multi-passage brain wave control glasses, which comprises a glasses frame, a left glasses leg, a right glasses leg and a brain wave control external module, wherein the middle part of the glasses frame is provided with a gyroscope sensor, a battery module, a left eye blinking current detector and a right eye blinking current detector are arranged on the glasses frame, a left lens is provided with a pupil viewpoint direction tracker, the left glasses leg is provided with a microphone, a voice control switch, a wireless communication module, a side brain wave signal detector and a brain wave signal ear clamp detector, the right glasses leg is provided with a temple brain wave signal detector and a micro loudspeaker, and the brain wave control external module is connected with the wireless communication module through a signal and is used for receiving detected signals. The multi-passage brain wave control glasses have the beneficial effects that through integrating multiple sensors on the glasses, multiple pieces of collected signal data can complete complex equipment operation tasks, and a user can perform multi-passage control on the equipment only through the head, so that the function of other related products only limited to simple entertainment is broken through, and brain wave control is really practical.

The invention discloses a device for extracting eye blinking times by brain waves and a method. The device comprises a brain wave acquisition unit, a frequency selecting filter unit, an amplitude limiting unit and a delay shaping unit, wherein the brain wave acquisition unit transmits the acquired mixed brain wave signal of a person to the frequency selecting filter unit; the output of the frequency selecting filter unit is connected with the input of the amplitude limiting unit; the output of the amplitude limiting unit is connected to the input of the delay shaping unit; the amplitude limiting unit transmits an acquired amplitude-limited effective eye blinking signal to the delay shaping unit; and the delay shaping unit processes the amplitude-limited effective eye blinking signal to obtain an eye blinking representing pulse signal. A method comprises the following steps of performing frequency selecting filter processing, amplitude limiting processing, jamming signal removal and delay shaping processing on the acquired mixed brain wave of the person to obtain the eye blinking representing pulse signal. The device is simple in data processing process and simple in head positioning, can be used for checking fatigue of a driver and is favorable for reducing the traffic accident rate.

A method for identifying an occurrence of a concussion in a subject involves capturing eye blink raw data from at least one eye of the subject. The method next involves analyzing the eye blink raw data to generate at least a first subject specific eye blink metric and determining that a significant difference exists between the first subject specific eye blink metric and a predefined normal value. Next, the occurrence of the concussion in the subject may be identified, based on determining that the significant difference exists.

According to an illustrative embodiment, an information processing device is provided. The information processing device includes at least one electrode configured to generate at least one signal related to eye blinking of a subject; and a processing circuit configured to receive the at least one signal and detect eye blinking of the subject based on the at least one signal.

A method and system is provided for pre-processing of an electroencephalography (EEG) signal for cognitive load measurement. The present application provides a method and system for pre-processing ofelectroencephalography signal for cognitive load measurement of a user, comprises of capturing the electroencephalography signal from the head of the user, detecting the plurality of system artifactsin the captured electroencephalography signal, detecting and removing noisy window from the captured electroencephalography signal, detecting an eye blink region and filtering out said detected eye blink region from the captured electroencephalography signal, utilizing the filtered electroencephalography signal for measuring the cognitive load of the user and subsequently computing different levels of mental workloads on the user using variation of spatial distribution of frontal scalp EEG electrodes for measured cognitive load.

The invention provides a menu selection method and a device of a virtual reality helmet and the virtual reality helmet. The menu selection method of the virtual reality helmet includes the steps of judging whether the eye closing time is equal to or greater than a preset threshold or not in the eye blink process of a user; if the eye closing time is equal to or greater than the preset threshold, determining that the user has made the menu selection. The user can make menu selection of the virtual reality helmet by eye blink without other objects or hands, so the operation is simple and convenient, the selection is rapid and high in efficiency, and the operation consistency is maintained. At the same time, the hands are liberated, the user can have interaction on other aspects, and the user experience is improved.

The invention relates to an image capture method and a mobile camera device thereof. By grading preview images of original images for the purpose of filtering eye blink patterns off and / or introducing face smile patterns, a result image can be generated with least eye blink patterns and most face smile patterns for satisfying image quality.

An example technique may include performing, by a virtual reality application provided on a computing device, video rendering at a first video rendering rate based on updating an entire image on a screen of the computing device at a first update rate, determining that a performance of the video rendering is less than a threshold, performing, based on the determining, video rendering at a second video rendering rate by updating a first portion of the image at the first update rate, and by updating a second portion of the image at a second update rate that is less than the first update rate. Another example technique may include shifting, during an eye blinking period, one or both of a left eye image and a right eye image to reduce a disparity between a left viewed object and a right viewedobject.

The invention relates to a vehicle control method and device. The vehicle control method includes the steps that blink movement codes of users are acquired, the blink movement codes are used for showing an eye blink condition of the users, and the eye blink condition includes at least one of the blink efficiency, the blink duration and the blink times; control instructions corresponding to the blink movement codes are determined; and a corresponding target executing mechanism is controlled according to the control instructions, wherein, the target executing mechanism is one of a vehicle seat and a vehicle rear view mirror. When users need to regulate seats and rear view mirrors during driving, corresponding control can be carried out through eye blink, the manual operation is not required,and simpleness and convenience are achieved. Meanwhile, drivers are not distracted to look for corresponding regulation buttons while regulating the seats and the rear view mirrors, and can concentrate on driving a vehicle, thereby ensuring safe driving.

The present disclosure pertains to a system and method for determining sleep onset latency in a subject. The system is configured to generate output signals conveying information related to brain activity in the subject, determine sleep stages of the subject based on the output signals, determine a sleep onset moment in the subject based on the determined sleep stages, determine a sleep intention moment for the subject by: (i) detecting eye blinks in the subject based on the output signals, and determining the sleep intention moment responsive to the detected eye blinks ceasing for a predetermined period of time; and / or (ii) determining whether brain activity power in a target frequency band has breached a threshold power level based on the output signals, and determining the sleep intention moment responsive to a breach; and determine the sleep onset latency based on the sleep onset moment and the sleep intention moment.